"
]
},
- "execution_count": 12,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@@ -697,7 +697,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 22,
"id": "444d829c",
"metadata": {},
"outputs": [
@@ -707,8 +707,8 @@
"text": [
"DbAnalysisResultV1\n",
"- name: rabi_rate\n",
- "- value: 0.5828773180419505 ± 0.0027186379727953116\n",
- "- χ²: 1.6337913847682912\n",
+ "- value: 0.5835711622496985 ± 0.0028894642130689666\n",
+ "- χ²: 2.0874659580448207\n",
"- quality: good\n",
"- device_components: ['Q0']\n",
"- verified: False\n"
@@ -721,7 +721,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 23,
"id": "7fa0e4b4",
"metadata": {},
"outputs": [
@@ -760,45 +760,45 @@
" \n",
" | 0 | \n",
" amp | \n",
- " (0,) | \n",
+ " () | \n",
" x | \n",
- " 0.857813+0.000000j | \n",
+ " 0.500000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-28 10:37:56.254000+0200 | \n",
- " aa8b9513-a1d8-48b5-82ed-2e3538860ad3 | \n",
+ " 2021-11-03 16:40:00.882460+0100 | \n",
+ " None | \n",
"
\n",
" \n",
" | 1 | \n",
" amp | \n",
- " () | \n",
- " sx | \n",
- " 0.250000+0.000000j | \n",
+ " (0,) | \n",
+ " x | \n",
+ " 0.856794+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-28 10:27:44.953709+0200 | \n",
- " None | \n",
+ " 2021-11-03 16:42:27.534000+0100 | \n",
+ " bc1dac04-bbfc-4282-97ae-90272616e093 | \n",
"
\n",
" \n",
" | 2 | \n",
" amp | \n",
" (0,) | \n",
" sx | \n",
- " 0.428907+0.000000j | \n",
+ " 0.428397+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-28 10:37:56.254000+0200 | \n",
- " aa8b9513-a1d8-48b5-82ed-2e3538860ad3 | \n",
+ " 2021-11-03 16:42:27.534000+0100 | \n",
+ " bc1dac04-bbfc-4282-97ae-90272616e093 | \n",
"
\n",
" \n",
" | 3 | \n",
" amp | \n",
" () | \n",
- " x | \n",
- " 0.500000+0.000000j | \n",
+ " sx | \n",
+ " 0.250000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-28 10:27:44.953672+0200 | \n",
+ " 2021-11-03 16:40:00.882499+0100 | \n",
" None | \n",
"
\n",
" \n",
@@ -807,19 +807,19 @@
],
"text/plain": [
" parameter qubits schedule value group valid \\\n",
- "0 amp (0,) x 0.857813+0.000000j default True \n",
- "1 amp () sx 0.250000+0.000000j default True \n",
- "2 amp (0,) sx 0.428907+0.000000j default True \n",
- "3 amp () x 0.500000+0.000000j default True \n",
+ "0 amp () x 0.500000+0.000000j default True \n",
+ "1 amp (0,) x 0.856794+0.000000j default True \n",
+ "2 amp (0,) sx 0.428397+0.000000j default True \n",
+ "3 amp () sx 0.250000+0.000000j default True \n",
"\n",
" date_time exp_id \n",
- "0 2021-10-28 10:37:56.254000+0200 aa8b9513-a1d8-48b5-82ed-2e3538860ad3 \n",
- "1 2021-10-28 10:27:44.953709+0200 None \n",
- "2 2021-10-28 10:37:56.254000+0200 aa8b9513-a1d8-48b5-82ed-2e3538860ad3 \n",
- "3 2021-10-28 10:27:44.953672+0200 None "
+ "0 2021-11-03 16:40:00.882460+0100 None \n",
+ "1 2021-11-03 16:42:27.534000+0100 bc1dac04-bbfc-4282-97ae-90272616e093 \n",
+ "2 2021-11-03 16:42:27.534000+0100 bc1dac04-bbfc-4282-97ae-90272616e093 \n",
+ "3 2021-11-03 16:40:00.882499+0100 None "
]
},
- "execution_count": 17,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -845,7 +845,7 @@
{
"data": {
"text/plain": [
- "ScheduleBlock(Play(Drag(duration=320, amp=(0.43300531+0j), sigma=80, beta=0), DriveChannel(0)), name=\"sx\", transform=AlignLeft())"
+ "ScheduleBlock(Play(Drag(duration=320, amp=(0.42839677+0j), sigma=80, beta=0), DriveChannel(0)), name=\"sx\", transform=AlignLeft())"
]
},
"execution_count": 24,
@@ -866,7 +866,7 @@
{
"data": {
"text/plain": [
- "ScheduleBlock(Play(Drag(duration=320, amp=(0.86601063+0j), sigma=80, beta=0), DriveChannel(0)), name=\"x\", transform=AlignLeft())"
+ "ScheduleBlock(Play(Drag(duration=320, amp=(0.85679354+0j), sigma=80, beta=0), DriveChannel(0)), name=\"x\", transform=AlignLeft())"
]
},
"execution_count": 25,
@@ -887,7 +887,7 @@
{
"data": {
"text/plain": [
- "ScheduleBlock(Play(Drag(duration=320, amp=0.86601063j, sigma=80, beta=0), DriveChannel(0)), name=\"y\", transform=AlignLeft())"
+ "ScheduleBlock(Play(Drag(duration=320, amp=0.85679354j, sigma=80, beta=0), DriveChannel(0)), name=\"y\", transform=AlignLeft())"
]
},
"execution_count": 26,
@@ -938,7 +938,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 28,
"id": "24256b82",
"metadata": {},
"outputs": [],
@@ -949,7 +949,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 29,
"id": "80ca665c",
"metadata": {},
"outputs": [
@@ -989,22 +989,22 @@
" 0 | \n",
" amp | \n",
" () | \n",
- " sx | \n",
- " 0.250000+0.000000j | \n",
+ " x | \n",
+ " 0.500000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 12:05:42.885706+0100 | \n",
+ " 2021-11-03 16:42:30.370765+0100 | \n",
" None | \n",
" \n",
" \n",
" | 1 | \n",
" amp | \n",
" () | \n",
- " sx | \n",
- " 0.250000+0.000000j | \n",
+ " x | \n",
+ " 0.500000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 10:23:20.785453+0100 | \n",
+ " 2021-11-03 16:40:00.882460+0100 | \n",
" | \n",
"
\n",
" \n",
@@ -1012,44 +1012,44 @@
" | amp | \n",
" (0,) | \n",
" sx | \n",
- " 0.430256+0.000000j | \n",
+ " 0.428397+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 10:25:52.837000+0100 | \n",
- " d4d482d0-34c7-476a-870e-6984aa387f94 | \n",
+ " 2021-11-03 16:42:27.534000+0100 | \n",
+ " bc1dac04-bbfc-4282-97ae-90272616e093 | \n",
"
\n",
" \n",
" | 3 | \n",
" amp | \n",
- " () | \n",
+ " (0,) | \n",
" x | \n",
- " 0.500000+0.000000j | \n",
+ " 0.856794+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 12:05:42.885622+0100 | \n",
- " None | \n",
+ " 2021-11-03 16:42:27.534000+0100 | \n",
+ " bc1dac04-bbfc-4282-97ae-90272616e093 | \n",
"
\n",
" \n",
" | 4 | \n",
" amp | \n",
" () | \n",
- " x | \n",
- " 0.500000+0.000000j | \n",
+ " sx | \n",
+ " 0.250000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 10:23:20.785369+0100 | \n",
- " | \n",
+ " 2021-11-03 16:42:30.370841+0100 | \n",
+ " None | \n",
"
\n",
" \n",
" | 5 | \n",
" amp | \n",
- " (0,) | \n",
- " x | \n",
- " 0.860512+0.000000j | \n",
+ " () | \n",
+ " sx | \n",
+ " 0.250000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 10:25:52.837000+0100 | \n",
- " d4d482d0-34c7-476a-870e-6984aa387f94 | \n",
+ " 2021-11-03 16:40:00.882499+0100 | \n",
+ " | \n",
"
\n",
" \n",
"\n",
@@ -1057,23 +1057,23 @@
],
"text/plain": [
" parameter qubits schedule value group valid \\\n",
- "0 amp () sx 0.250000+0.000000j default True \n",
- "1 amp () sx 0.250000+0.000000j default True \n",
- "2 amp (0,) sx 0.430256+0.000000j default True \n",
- "3 amp () x 0.500000+0.000000j default True \n",
- "4 amp () x 0.500000+0.000000j default True \n",
- "5 amp (0,) x 0.860512+0.000000j default True \n",
+ "0 amp () x 0.500000+0.000000j default True \n",
+ "1 amp () x 0.500000+0.000000j default True \n",
+ "2 amp (0,) sx 0.428397+0.000000j default True \n",
+ "3 amp (0,) x 0.856794+0.000000j default True \n",
+ "4 amp () sx 0.250000+0.000000j default True \n",
+ "5 amp () sx 0.250000+0.000000j default True \n",
"\n",
" date_time exp_id \n",
- "0 2021-11-03 12:05:42.885706+0100 None \n",
- "1 2021-11-03 10:23:20.785453+0100 \n",
- "2 2021-11-03 10:25:52.837000+0100 d4d482d0-34c7-476a-870e-6984aa387f94 \n",
- "3 2021-11-03 12:05:42.885622+0100 None \n",
- "4 2021-11-03 10:23:20.785369+0100 \n",
- "5 2021-11-03 10:25:52.837000+0100 d4d482d0-34c7-476a-870e-6984aa387f94 "
+ "0 2021-11-03 16:42:30.370765+0100 None \n",
+ "1 2021-11-03 16:40:00.882460+0100 \n",
+ "2 2021-11-03 16:42:27.534000+0100 bc1dac04-bbfc-4282-97ae-90272616e093 \n",
+ "3 2021-11-03 16:42:27.534000+0100 bc1dac04-bbfc-4282-97ae-90272616e093 \n",
+ "4 2021-11-03 16:42:30.370841+0100 None \n",
+ "5 2021-11-03 16:40:00.882499+0100 "
]
},
- "execution_count": 9,
+ "execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
@@ -1107,89 +1107,74 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 30,
"id": "74edd0ee",
"metadata": {},
"outputs": [],
"source": [
- "from qiskit_experiments.library.calibration.drag import DragCal\n",
- "from qiskit_experiments.calibration_management.update_library import Drag"
+ "from qiskit_experiments.library import RoughDragCal"
]
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 31,
"id": "fac11c93",
"metadata": {},
"outputs": [],
"source": [
- "cal_drag = DragCal(qubit)"
+ "cal_drag = RoughDragCal(qubit, cals, backend=backend, betas=np.linspace(-20, 20, 25))"
]
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 32,
"id": "3a337cf4",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": "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\n",
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"text/plain": [
- ""
+ ""
]
},
- "execution_count": 34,
+ "execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "cal_drag.set_experiment_options(\n",
- " rp=cals.get_schedule(\"x\", qubit, assign_params={\"β\": Parameter(\"β\")}),\n",
- " betas=np.linspace(-20, 20, 25),\n",
- " reps=[3, 5, 7]\n",
- ")\n",
+ "cal_drag.set_experiment_options(reps=[3, 5, 7])\n",
"\n",
- "cal_drag.circuits(backend)[1].draw(output='mpl')"
+ "cal_drag.circuits()[5].draw(output='mpl')"
]
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 33,
"id": "c3958dff",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "ExperimentData(DragCal, 56de17e6-ed83-4280-9df3-b53c14154952, backend=ibmq_armonk, job_ids=['61043d401e71b07cf7bfc3d1'])"
- ]
- },
- "execution_count": 35,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [],
"source": [
- "drag_data = cal_drag.run(backend)\n",
- "drag_data.block_for_results()"
+ "drag_data = cal_drag.run().block_for_results()"
]
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 34,
"id": "3a6430f4",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
},
- "execution_count": 36,
+ "execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
@@ -1200,7 +1185,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 35,
"id": "dc39db70",
"metadata": {},
"outputs": [
@@ -1210,8 +1195,8 @@
"text": [
"DbAnalysisResultV1\n",
"- name: beta\n",
- "- value: -0.8424663551657885 ± 0.016291164278910576\n",
- "- χ²: 1.0897174737821766\n",
+ "- value: -1.1055031138199274 ± 0.018683794096014686\n",
+ "- χ²: 1.1196703236999246\n",
"- quality: good\n",
"- device_components: ['Q0']\n",
"- verified: False\n"
@@ -1224,17 +1209,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
- "id": "df67fefe",
- "metadata": {},
- "outputs": [],
- "source": [
- "Drag.update(cals, drag_data, parameter=\"β\", schedule=\"x\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 39,
+ "execution_count": 36,
"id": "f02bd7a6",
"metadata": {},
"outputs": [
@@ -1259,93 +1234,93 @@
" \n",
" \n",
" | \n",
+ " parameter | \n",
+ " qubits | \n",
+ " schedule | \n",
" value | \n",
- " date_time | \n",
+ " group | \n",
" valid | \n",
+ " date_time | \n",
" exp_id | \n",
- " group | \n",
- " qubits | \n",
- " parameter | \n",
- " schedule | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
- " 0.000000 | \n",
- " 2021-07-30 17:56:11.297365+0000 | \n",
- " True | \n",
- " None | \n",
- " default | \n",
- " () | \n",
" β | \n",
+ " (0,) | \n",
" x | \n",
+ " -1.105503 | \n",
+ " default | \n",
+ " True | \n",
+ " 2021-11-03 16:43:59.621000+0100 | \n",
+ " fa8c73a5-3a96-4581-b8e2-1e6384976dc2 | \n",
"
\n",
" \n",
" | 1 | \n",
+ " β | \n",
+ " () | \n",
+ " sx | \n",
" 0.000000 | \n",
- " 2021-07-30 17:53:14.422964+0000 | \n",
- " True | \n",
- " | \n",
" default | \n",
- " () | \n",
- " β | \n",
- " x | \n",
+ " True | \n",
+ " 2021-11-03 16:42:30.370857+0100 | \n",
+ " None | \n",
"
\n",
" \n",
" | 2 | \n",
- " -0.842466 | \n",
- " 2021-07-31 02:57:58.051000+0900 | \n",
- " True | \n",
- " 56de17e6-ed83-4280-9df3-b53c14154952 | \n",
- " default | \n",
- " (0,) | \n",
" β | \n",
- " x | \n",
+ " () | \n",
+ " sx | \n",
+ " 0.000000 | \n",
+ " default | \n",
+ " True | \n",
+ " 2021-11-03 16:40:00.882507+0100 | \n",
+ " | \n",
"
\n",
" \n",
" | 3 | \n",
+ " β | \n",
+ " () | \n",
+ " x | \n",
" 0.000000 | \n",
- " 2021-07-30 17:56:11.297420+0000 | \n",
+ " default | \n",
" True | \n",
+ " 2021-11-03 16:42:30.370808+0100 | \n",
" None | \n",
- " default | \n",
- " () | \n",
- " β | \n",
- " sx | \n",
"
\n",
" \n",
" | 4 | \n",
+ " β | \n",
+ " () | \n",
+ " x | \n",
" 0.000000 | \n",
- " 2021-07-30 17:53:14.423004+0000 | \n",
+ " default | \n",
" True | \n",
+ " 2021-11-03 16:40:00.882483+0100 | \n",
" | \n",
- " default | \n",
- " () | \n",
- " β | \n",
- " sx | \n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " value date_time valid \\\n",
- "0 0.000000 2021-07-30 17:56:11.297365+0000 True \n",
- "1 0.000000 2021-07-30 17:53:14.422964+0000 True \n",
- "2 -0.842466 2021-07-31 02:57:58.051000+0900 True \n",
- "3 0.000000 2021-07-30 17:56:11.297420+0000 True \n",
- "4 0.000000 2021-07-30 17:53:14.423004+0000 True \n",
+ " parameter qubits schedule value group valid \\\n",
+ "0 β (0,) x -1.105503 default True \n",
+ "1 β () sx 0.000000 default True \n",
+ "2 β () sx 0.000000 default True \n",
+ "3 β () x 0.000000 default True \n",
+ "4 β () x 0.000000 default True \n",
"\n",
- " exp_id group qubits parameter schedule \n",
- "0 None default () β x \n",
- "1 default () β x \n",
- "2 56de17e6-ed83-4280-9df3-b53c14154952 default (0,) β x \n",
- "3 None default () β sx \n",
- "4 default () β sx "
+ " date_time exp_id \n",
+ "0 2021-11-03 16:43:59.621000+0100 fa8c73a5-3a96-4581-b8e2-1e6384976dc2 \n",
+ "1 2021-11-03 16:42:30.370857+0100 None \n",
+ "2 2021-11-03 16:40:00.882507+0100 \n",
+ "3 2021-11-03 16:42:30.370808+0100 None \n",
+ "4 2021-11-03 16:40:00.882483+0100 "
]
},
- "execution_count": 39,
+ "execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
@@ -1369,7 +1344,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 37,
"id": "20ab91f2",
"metadata": {},
"outputs": [],
@@ -1379,7 +1354,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 38,
"id": "bfb3124b",
"metadata": {},
"outputs": [],
@@ -1389,7 +1364,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 39,
"id": "c6127e65",
"metadata": {},
"outputs": [
@@ -1400,7 +1375,7 @@
""
]
},
- "execution_count": 24,
+ "execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
@@ -1411,7 +1386,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 40,
"id": "24067164",
"metadata": {},
"outputs": [],
@@ -1421,18 +1396,18 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 41,
"id": "076bed0c",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
},
- "execution_count": 26,
+ "execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
@@ -1443,7 +1418,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 42,
"id": "cf2cc09a",
"metadata": {},
"outputs": [
@@ -1453,9 +1428,9 @@
"text": [
"DbAnalysisResultV1\n",
"- name: d_theta\n",
- "- value: -0.10585059452665099 ± 0.0036016923711092905\n",
- "- χ²: 1.2761864922591215\n",
- "- quality: good\n",
+ "- value: -0.08009669103196095 ± 0.0010877479733272931\n",
+ "- χ²: 25.48854792104786\n",
+ "- quality: bad\n",
"- device_components: ['Q0']\n",
"- verified: False\n"
]
@@ -1475,7 +1450,7 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 43,
"id": "81adf659",
"metadata": {},
"outputs": [
@@ -1483,8 +1458,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "The ideal angle is 3.14 rad. We measured a deviation of -0.106 rad.\n",
- "Thus, scale the 0.8962+0.0000j pulse amplitude by 1.035 to obtain 0.92746+0.00000j.\n"
+ "The ideal angle is 3.14 rad. We measured a deviation of -0.080 rad.\n",
+ "Thus, scale the 0.8792+0.0000j pulse amplitude by 1.026 to obtain 0.90221+0.00000j.\n"
]
}
],
@@ -1507,7 +1482,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 44,
"id": "81e7f3de",
"metadata": {},
"outputs": [
@@ -1547,22 +1522,22 @@
" 0 | \n",
" amp | \n",
" () | \n",
- " sx | \n",
- " 0.250000+0.000000j | \n",
+ " x | \n",
+ " 0.500000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-21 14:40:51.746391+0200 | \n",
+ " 2021-11-03 16:42:30.370765+0100 | \n",
" None | \n",
" \n",
" \n",
" | 1 | \n",
" amp | \n",
" () | \n",
- " sx | \n",
- " 0.250000+0.000000j | \n",
+ " x | \n",
+ " 0.500000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-21 14:21:13.496333+0200 | \n",
+ " 2021-11-03 16:40:00.882460+0100 | \n",
" | \n",
"
\n",
" \n",
@@ -1570,55 +1545,55 @@
" | amp | \n",
" (0,) | \n",
" sx | \n",
- " 0.433005+0.000000j | \n",
+ " 0.428397+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-21 14:39:49.487000+0200 | \n",
- " 1b5c7f5c-2a93-4beb-a3cd-037e3f18c397 | \n",
+ " 2021-11-03 16:42:27.534000+0100 | \n",
+ " bc1dac04-bbfc-4282-97ae-90272616e093 | \n",
"
\n",
" \n",
" | 3 | \n",
" amp | \n",
- " () | \n",
+ " (0,) | \n",
" x | \n",
- " 0.500000+0.000000j | \n",
+ " 0.856794+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-21 14:40:51.746354+0200 | \n",
- " None | \n",
+ " 2021-11-03 16:42:27.534000+0100 | \n",
+ " bc1dac04-bbfc-4282-97ae-90272616e093 | \n",
"
\n",
" \n",
" | 4 | \n",
" amp | \n",
- " () | \n",
+ " (0,) | \n",
" x | \n",
- " 0.500000+0.000000j | \n",
+ " 0.879209+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-21 14:21:13.496299+0200 | \n",
- " | \n",
+ " 2021-11-03 16:44:31.671000+0100 | \n",
+ " b4966de8-a1ce-4822-b70d-775adffd4f45 | \n",
"
\n",
" \n",
" | 5 | \n",
" amp | \n",
- " (0,) | \n",
- " x | \n",
- " 0.866011+0.000000j | \n",
+ " () | \n",
+ " sx | \n",
+ " 0.250000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-21 14:39:49.487000+0200 | \n",
- " 1b5c7f5c-2a93-4beb-a3cd-037e3f18c397 | \n",
+ " 2021-11-03 16:42:30.370841+0100 | \n",
+ " None | \n",
"
\n",
" \n",
" | 6 | \n",
" amp | \n",
- " (0,) | \n",
- " x | \n",
- " 0.896207+0.000000j | \n",
+ " () | \n",
+ " sx | \n",
+ " 0.250000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-10-21 14:42:13.806000+0200 | \n",
- " 1507e843-ca7f-4670-a2a8-ad3bbc51fe0c | \n",
+ " 2021-11-03 16:40:00.882499+0100 | \n",
+ " | \n",
"
\n",
" \n",
"\n",
@@ -1626,25 +1601,25 @@
],
"text/plain": [
" parameter qubits schedule value group valid \\\n",
- "0 amp () sx 0.250000+0.000000j default True \n",
- "1 amp () sx 0.250000+0.000000j default True \n",
- "2 amp (0,) sx 0.433005+0.000000j default True \n",
- "3 amp () x 0.500000+0.000000j default True \n",
- "4 amp () x 0.500000+0.000000j default True \n",
- "5 amp (0,) x 0.866011+0.000000j default True \n",
- "6 amp (0,) x 0.896207+0.000000j default True \n",
+ "0 amp () x 0.500000+0.000000j default True \n",
+ "1 amp () x 0.500000+0.000000j default True \n",
+ "2 amp (0,) sx 0.428397+0.000000j default True \n",
+ "3 amp (0,) x 0.856794+0.000000j default True \n",
+ "4 amp (0,) x 0.879209+0.000000j default True \n",
+ "5 amp () sx 0.250000+0.000000j default True \n",
+ "6 amp () sx 0.250000+0.000000j default True \n",
"\n",
" date_time exp_id \n",
- "0 2021-10-21 14:40:51.746391+0200 None \n",
- "1 2021-10-21 14:21:13.496333+0200 \n",
- "2 2021-10-21 14:39:49.487000+0200 1b5c7f5c-2a93-4beb-a3cd-037e3f18c397 \n",
- "3 2021-10-21 14:40:51.746354+0200 None \n",
- "4 2021-10-21 14:21:13.496299+0200 \n",
- "5 2021-10-21 14:39:49.487000+0200 1b5c7f5c-2a93-4beb-a3cd-037e3f18c397 \n",
- "6 2021-10-21 14:42:13.806000+0200 1507e843-ca7f-4670-a2a8-ad3bbc51fe0c "
+ "0 2021-11-03 16:42:30.370765+0100 None \n",
+ "1 2021-11-03 16:40:00.882460+0100 \n",
+ "2 2021-11-03 16:42:27.534000+0100 bc1dac04-bbfc-4282-97ae-90272616e093 \n",
+ "3 2021-11-03 16:42:27.534000+0100 bc1dac04-bbfc-4282-97ae-90272616e093 \n",
+ "4 2021-11-03 16:44:31.671000+0100 b4966de8-a1ce-4822-b70d-775adffd4f45 \n",
+ "5 2021-11-03 16:42:30.370841+0100 None \n",
+ "6 2021-11-03 16:40:00.882499+0100 "
]
},
- "execution_count": 37,
+ "execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
@@ -1663,7 +1638,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 45,
"id": "84146c1a",
"metadata": {},
"outputs": [],
@@ -1673,18 +1648,18 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 46,
"id": "5218f8e0",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
},
- "execution_count": 39,
+ "execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
@@ -1703,7 +1678,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 47,
"id": "25ddccd3",
"metadata": {},
"outputs": [
@@ -1713,9 +1688,9 @@
"text": [
"DbAnalysisResultV1\n",
"- name: d_theta\n",
- "- value: -0.023041381974401358 ± 0.001382763290893336\n",
- "- χ²: 1.8251091489996691\n",
- "- quality: good\n",
+ "- value: -0.05526699149655558 ± 0.0009785317206102975\n",
+ "- χ²: 5.662785981062492\n",
+ "- quality: bad\n",
"- device_components: ['Q0']\n",
"- verified: False\n"
]
@@ -1737,7 +1712,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 48,
"id": "50423105",
"metadata": {},
"outputs": [],
@@ -1747,7 +1722,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 49,
"id": "a075eacb",
"metadata": {},
"outputs": [],
@@ -1757,7 +1732,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 50,
"id": "3d38a13f",
"metadata": {},
"outputs": [
@@ -1768,7 +1743,7 @@
""
]
},
- "execution_count": 12,
+ "execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
@@ -1779,7 +1754,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 51,
"id": "6c00c3f5",
"metadata": {},
"outputs": [],
@@ -1789,18 +1764,18 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 52,
"id": "0117cb2d",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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06tU2bw0NDZx11lnccsst7LbbbhndTyFihX6I+fBDs775Zthzz9aIfPPnm98VFfkdmMepF5Pl0wEHmHUQ5n2v6NKl7afY2Oi82BYGDYKWlhZuuOEGzjzzTBYvNh78Q4eaqIz9+/dPm+4tt9zCrbfeyh133MG+++5L9+7dueaaa1i3bl27+eloCOERRxzByy+/nNG9AQwaNIi1a9e22bZ27Vq6dOlCP0eqJdDcDL16DWLDhjfbNPg2bqyiubmZvn0HsXWriVkA8NRTT3HOOefw8MMP89WvfjVlHhobG3nooYeYNGnSTs8boKioaEdj54ADDmDBggXcfPPNbYR+SUnJjmPGjRvH7Nmzue222/jrX/+a8ppdunRp04BasWLFTttSsW2bGalRVNRWuPXtCwMH9uf3v3+OXXapp6VlA0OGDOGqq65i5MiRadN77LHH+Oyzz3jzzTcpjkvOxx57jN69e/Pss8/y3e9+t938tMfBBx/M448/3mZbe8+yJd5qfeGFFxg2rG3U9a5duwLwm9/8hRUrttG/P+y6q9k2aNAgZsx4E4C47yFVVaY8DBo0iNWrV7NgwQLOP/98zj//fMB8N6pKly5deOmll3bqYipErNAPKU1NZogKwJgxpnKbNMn8X7jQCP2XXtpZ28knMhH6LS2tns1es/vuu9O1a1fefvvtHRXs1q1b+fDDD9l9990zSqOkpITmDAZbb9li1n36QEkJfOlLX2LhwoXsscce9Ohhxmz36AGJsiNV2jNnzuSrX/0qZ599NmC68z755BN6JatJSczroEXVrVu3Du8hkUMPPZRnn322zbbXXnuN8ePH76joE6mrg332OZS//vVXrF69Ykf/+2uvvUZJSSl77TVuh9D/5z//ybnnnstDDz3ExIkT0+bhueeeo6qqigsuuCCjPLe0tNDQgVNNJsd0Bqc/u0+ftt93UREMHAhffAFbtpSx5567sH37dp5++mm+8Y1vpE2vrq4OEaEo4WMpKipCRHYI4c4yb968tJYmh8TnNGbMGEpLS1m2bBnHHHNMyuN79twFERg5sjUg0aGHHsqvfvUr1q5dwcCBQ2luNuWhtLSUcePG0a1bNz5IGtN7991389prr/Hss89mNWoin7FCP6QsXmxMmMOHt2ozDnvuCbvvDp99Bu+8Ax75EQXKpk3GfN+1KyRY0wFT6Q0ebIayff55W8HnJd27d+eCCy7g5z//Of3792fIkCFMnjw5IyHuMGLECGbMmMF3v/tdSktLU2q5YN49GGsOwPXXX89pp53G8OHD+Z//+QbLlhWzePFHrFv3Lrfe+vu0aY8ePZonnniCmTNn0q9fP/70pz+xZMkSDjyw/eks3DbvX3TRRdx55538+Mc/5vvf/z5vvvkmDz74IP/4xz92HHPnnXdy5513snDhQrZuhUMOOYHRo8dyzjnncOutt7JhwwauvPJKzj57Et2792DrVnj88cc5++yzueWWWzjyyCNZEx+/WlJSQp+k8HX33Xcfxx57bEqN+Ne//jUHH3wwI0eOpKGhgZdeeolHHnmEP/3pTzuOueqqqzj11FPZddddqamp4bHHHiMWi7U7Vr+5uZn169fv+L/XXnvx9ttv78gnmAZUz549d/xPdGJLVTw+/fQd3nprJWPGHMC6dSu58cYbaWlp4Wc/+1nKZwlw/PHHc+WVV3LJJZdw2WWX0dLSwm9/+1uKi4vbCN6PP/6YxsZGqqqqqK2t3dH4OyDe0r799tsZMWIEY8eOpbGxkQceeIDnnnuuzdDLjp5lZWUlV1xxBVdccQWqypFHHkltbS1vv/02RUVFXHjhhTuGZCZaeU444QTGjh3LTTedw6WX3srKlaY8TJo0aUcXSXI3y4ABAygtLbVj9RNJ19mfD0uUHfmefFJ3DE1LxY9+ZPZffbUv2XGVTJ7h88+b+zv88NT7TznF7P/nP93NWyKpyk9tba2effbZWlFRof3799fJkydnPGRPVXXWrFm63377aWlp6U5D9hJ54IFpCujSpet3bHv11Vf18MMP127dumlFRaXuvfc4/fWv/9Ru2hs3btQzzjhDu3fvrv3799crr7xSL7744pROWl4Ti8X0wAMP1JKSEh0xYoTec889bfbfcMMNO/K9eLFx5Hr//WV66qmnardu3bRPnz566aWX6qZN9TucvFINVQR2ur/PPvtMRUSfeOKJHdsSHfmuuuoq3WOPPbSsrEx79+6thx566A7nMIdzzz1Xhw0bpiUlJdq/f3899thj9ZVXXmn3npcsWZIyf4lLctnZtMnc+/z5xnkvmWnTYrrbbntrSUmp9u3bV88++2xduXJl2mfpMHXqVP3KV76iPXv21F69eumECRP0zTffbHPM8OHDU+bR4Xe/+91Oz+lf//pXmzQyeZYtLS36xz/+Uffee28tKSnRfv366XHHHadTp07VhgZz/++9t/P9L1u2TI855lQtLe2mvXqZ8lBfX5/2+VtHvp2XwAWzl0uUhf6NN5q387Ofpd7/2mtm/777+pIdV8nkGTrj89ONTrjmGrP/mmvczVsiQVUILS1mXP7s2apNTamPWbmyro1nd77x3/+a+6+r23lfS4sRCLNnq8bDFHSKTMeY+83Klebevvgi/TEffWSOqanxL1+p8OIZOo2eBQtS76+ubn9/NhSi0Lfj9EOK48SXzip15JHGq/mDD8xELPmG059/9NGp9zvWab89+P2gocGYeEtK0vtrlJY27zg232hsNEtxMaSawE2ktdvDmXwqn3Am1yotTX+M81wSJ+LKF5wopOkGFDg+plu3FvZcBJ3FCv2Q0pHQLykBxxHV4/DfvuP055eUwCGHpD4mjB78M2bMaDegTaY4FXl7M5Z27WpmHXGmW84nHEHe3uiUfBb6TkOuvfdfCEI/na9oly6mr181P9+/11hHvhDS0ACffmo8dffaK/1xJ50EzzwD06fDJZf4lz+vSTc+P5GRI6Gy0jjzrV1rnPuCZvz48R16vWdCJkJfxGiCDQ1mydKZPtQkCv10FILQL3RNP923D+bbr6szQ/fShDmwpMEK/RCyaJExW40a1X5lPmaMWX/+uT/58ot0Q/USKSqC/feHmTONtn/iiT5krAO6devmitd7JkIfrNB3jlXNn3gVTU1mKSoyI1fSka9Cv6nJlGeR9st/9+6msV9b61/e8gVr3g8hHZn2HZyRR4Uo9KG1Xz9MJn43yFTo52PFn2iybU/od+1qun9aWtJPNRxFErX89hoyjhWgoSG/unecd9mtW/vxNyorzbq2Nr/u3w+s0A8h8YiTdDQPxqBBpuLfsKE1mEvUqalpHZ+frj/fwenXzzdnvmw0fcgvZ75t20wlXlravqYL+Wniz/TdFxebRo9qa0yHfCAT0z6Yfv1u3Wy/fmcIROiLyCUiskRE6kVkrogc0cHx3xaReSJSJyJrRORRERnkV379JlNN34lYBbBkibd58ovPPzcf8qhRHX/4+ajpb9+emXkXWgVDPgn9TLR8h3wU+pn05zvko6UnU6EPre/fOceSGb4LfRE5C7gDuBk4EHgLeFlEhqU5/ivAI8BDwFjgdGAM8Hc/8hsEmQp9yD8T/9KlZp1JxMwxY0yL/5NP8qdvL9Fzu6N+akcw5FOln6nQ/+KLLzjzzAl84xtjOOGE/XjSmZ0q4mSq6Scek0/vPxuh75T/fLJ0+EEQmv7lwIOqer+qLlDVS4HVwMVpjj8UWKGqt6nqElV9G/gTcLBP+fWVrVuNAO/SxWi7HVHIQr+01Ah+VROvIB9w+jQzqfRLSsw6n4btOY23joR+ly5duOOO23nyyY/54x+n8uMf/5iteaDyF7Kmn+ifkYljamL5t2SOr0JfREqAccDUpF1TgXQR5N8EBovIV8XQD/gm8JJ3OQ2OBQvMes89Wwt1e+Sb0HcCDaWZGXUn8i1ITzaaXlFRNPr1zzvvPE477bQOj2tpab3/jjS9wYMH86UvHUC3btCv3yD69OnHxo0bXchtsBSypp/Y4M1kErEolP0w4veQvX5AMbA2afta4LhUJ6jqLBH5Jsac3w2T59eAc1MdLyIXAhcCDBw4sM281W5QW1vrepqJvPLKIGAvBgxYRyz2cQb56Qvsy5w5G4jFoqHutvcM58wZC/Rn69aPiMXWpzwmke7dhwJ78NJLqxgz5hNX81lfX0+NM4enT9TWlgFdgW3U1DSlPa65uZmamhqKi80nsWlTHU1NwYQnu+iii3jsscd22j5z5kz2228/fvWrX6Gq1NTUcMopp7D33ntz66237nS8mU64O127tmSstXfpUsaCBfNpbGyiV69eWb0v5xl2ljfffJM//vGPzJs3j9WrV3PPPffwne98p9PnNDdDc3MlRUXKtm211NfDrbfeyi9/+UsmTZq00zNrajLP6667bubOO3+R8hivyfUZJrJpU1egjJKS7dTUdNyS2b7d3H9DQws1NZ2z8tTX13tan2eK13IlkdCP0xeRMRhz/k3Aq8Bg4A/An4Fzko9X1fuA+wDGjx+vEzoa95UlsVgMt9NM5MUXzfroowcwYcKADo/v1w+uvRY2berrab7cpL1n6Jh3Tz11LAcd1HFaInDXXbB27RAmTBjiXiaBsrIyKp2xQT7RFJfzvXt3a9fEWVNTQ2VlJd27m37QoqJyfM7qDrp27cpxxx3HI4880mZ7v3796NKlS5tnWFxcTElJScrn6oxAKS0tyvi5L1u2kRtuOIfbbrs/63flPMPO0tLSwgEHHMD3vvc9zjnnnIzKS3vnOGW/rEzo0aOSt99+m4ceeoj99tsv5TNThY8+eptnnrmfffdNfYzX5PoME3EMNT16dKWysgMvVlrjMzQ3F1FeXtmpKcbLyspCUW96LVcS8btPvwpoBpLjpw0E1ux8OABXA++q6h9Udb6qvgpcApwtIkO9y2owOMP1Mp0JcrfdzHrp0vyIQ51Nnz6YAD1g+vSb0ivGkaClJbs+3cTjgjbxlpaWMmjQoDZLly5Gp3DM++eddx5vvPEGd911FyKCiLDUeeG09s2WlMBZZ51F3759uf3223fsX7BgAeXl5Tz++OMANDQ0MGnS6Zx33lXsv7//80ufcsop3HzzzUycOLHNPPWdPSfx3W/evJnvfOc7PPDAA/Tu3TtlWlu2bOa6677Dddc9QM+eqY+JEtk48YER+LZfP3t8Ffqq2gjMBY5P2nU8xos/FeWYhkIizv+8izOQjec+GIengQNNoV+1yrt8+cHmzVBdbZx4+vfP7JxevUzDp6HBRDKMMomVfoYyJFL9mnfccQeHHnoo559/PqtXr2b16tXsuuuuO/Y7FXdpqZm3/dvf/ja//OUvASPgv/WtbzFx4kS++c1voqqcd955HHXUMZxyytkdVvo333zzTnMhDB48uM3/GTNmeHXrGZHYn3/hhRcyceJEjk434xTmmJNPnsj48UdH3pFTNTsnPgcr9LMnCPP+FOAREXkX46R3ETAEuBdARB4GUFXHdP8CcL+IXEyref924D1VXe5v1r1l0yZYscJ89I6DXiaMHGlCUn7+OSTUoZEj0Ykvm7Cqo0ebOAVLlnQc0CjMZOPE5RCWsfqvvPJKm0mFjjjiCF5++eU2x/Ts2ZOSkhLKy8sZNGjnMBuJmn7//oP56U9/yp133smyZcu4/fbb2bJlC3fddRdg+safeOIJ9tlnP5555jmKiuDJJx9h3333TZm/iy66iG984xttttXW1rbJ8y677NKpe3cL5x3+85/3s3jxYh599NG0x95/vznmmWceZf366I/eaG4291BUZEYuZUppqQnoFXT5jxK+C31VfUJE+gLXYgT4h8ApqupMEDss6fgHRaQS+CFwK7AZ+A/wc/9y7Q8fx/329t47M+9Vh5EjYdYsI/SPOsqbvPmBI/QzNe07OA2dL75wNTu+0xmh72g6TjjWTC0EbnPkkUdy33337fjfrROTASQKfYARI0bQq1cvfv/733Pfffcxffr0Hf3Hhx9+OC0tLTQ3m5EbRUXtW8f69OlDnz592mxzsz/aDRoaYOnSRfz619fw5psz6ZomOtOiRYu45pprmDlzJpWVXfNC6Ce++2wa/FbTz55AHPlU9W7g7jT7JqTY9ieMM19ek61p3yFfovJl25/vMDTu2bFihZu58Z/OCP2iIlPxOXPQZ3Oum5SXl+c82VCy0AfYf//9ufvuu7nxxhs59NBDdzqnuNgszc3GpyNdFMObb76Zm2++ud3rv/zyyxxxRLvBQT1D1bz/Dz6YxYYNVYxNMFk1Nzczffp07r33XrZu3cqsWbOoqtr5mNmzW48pzdQpJCRs327WmQxTTiRK3VthIfTe+4WEI/SzNVHny1j9zgp9R9MvRKHvHN/YaM4PSuhnSklJCc0pPE4TY8gnVvyqytixY7n22mvbSdP0Bzc2phf6YTfvNzWZhssxx5zOxInj22i7559/PqNGjeKaa66hpKSE008/nfHjxwNGw//4Y7jppvPZb79R/OIX5piokerdZ4LV9LPHCv0QsXixWe+5Z3bnFbrQdzT9KJv3HU0PshfcUdJ2RowYwbvvvsvSpUvp3r07ffr0oaioiKYmI8AczR3grrvuYvr06ey5554Ut9Pf5Qh9R1tMhRfm/draWhbHP9qWlhaWL1/OvHnz6NOnD8OGmV7KO++8kzvvvJOFCxe2e05paR9gGP3792LMmF5trlNRUUGfPn3YJ24C7NWrF716tT2mrKyCnj1bj4kajtDuaL6JZKzQz568836PMitXmnW2znjOsL1CF/pR1vS3bzeaXpcu2TkyQbSE/hVXXEFJSQljxoyhf//+LF9ufHGTNb2PP/6YK6+8kh/84Ad8+umn1LUzq0qiX4OfzJkzhwMPPJADDzyQbdu2ccMNN3DggQdy/fXX7zimqqqKRQnDStKdM3myOaczVnmnkRjlIbu5aPoi5vuJul+DX1hNP0Q4Qj9bK+OQIabwr11rYvdnMkNZGMk2BK9DoiOfE7AjajhafkfzqKci6HCsDz74YMb7R48ezaxZs3Y6JrHSb2ho4Nvf/jann346v//977nnnnuYP38+h6SZazkobW/ChAmoarvH3Hjjjdx4440dnrNyJaxendrK01GktrIy+POfYzsav1Gks0JfxFgHgvZpiRJW0w8J9fWwYYPR8gZ0HIivDcXFrdpxVJ35amrM/ZeVmbgD2VBZCT16mGcY1fDrjsDuhNN7pDT9dCRW+ldddRWbN2/mnnvuoby8nFGjRnHHHXfssAokkw8m3myDMiUSdKPPDTrryAd2tr1ssUI/JDiBdQYP7tywq6j363d2jL5D1J35cqn0E4V+VE2cToX91ltTufPOO3n00Ufp2bMnAL/4xS/4z3/+w7nnppxuIy+Efmf9ORLPiarQT3TizLZPH4Lr3okqVuiHhM6a9h2iLvQ725/vEHVnvsRodNniDNtLTCdqOPk+4YQT2L59O1/5yld27Dv77LNZu3Yt06ZNS3lu1O9d1R1NP6pCLzEwT2fi51tNPzus0A8Jjoba2X45K/TNOqqafi6aDkTfxJ9Lo8d5ZlF15nKG6xUXZ+/ECdG//84G5nGwmn52WKEfEgpd0++sE59D1KPy5dKnCdE38XbWkQvaWjraG7YXVhK1/M4IPceZDaI56VSuZT/qlh6/sUI/JLgl9KPqyFfImr5qa8VXiJp+S0vu9x/lij+X/nyHRG0/auTS4ANr3s8WK/RDQq5CP3GsfgejiEJJrkI/yo58TU3mnRUXdz52fpQ1/VzNu865iWlFiVz68x0coR/F+8+1ayvx3qPYveE3VuiHhFyFfo8e0LevqfTXrHEvX35RyI58uZo3E8+NcqVfqPfv5vsvRE0/6t07fmOFfkjIVehDdPv1t26Fqiqj6WQ7Rt8h0bwfNUtHrqZtiHalZ4W+Wefy/gvZvJ94bhS7t/zGCv0Q0NLSOk6/EIW+48Q3bFjnzds9ephl27boBejJ1bwJpmtAxHiBRy0cqxX6Zl2oQr/QLV1+Y8PwhoD1603B79OncxHZHKIq9HM17TsMHWpmHFuxwnR15MrgwYN3zGbmJZs3w6ZN0LMnJM2jkpb6+nrKkjy/Vq40/gG77NK5oV9BsWED1Naa8t/Z+W8aG00Y265dTVjqTEj1DINgxQrTUBs6tHPj1ME0dtetM/VHthE9c8GNZ7h8ubHO7bpr5xv9mzaZ7yibbwjMNx4kS5fCokWwcaN/5TBCVUP+4oZpH6zQ33XXVqG///655gpeeOGF3BPJgIsvhnvvhRtugB/+MLNzYrEYEyZMaLPtkEPgnXfg2Wfh8MPdz6dXnHgiTJ0KDz4Ip57auTQ2bjQNvR49YM6czM5J9Qz9pqmpVUtdvbrzjbX334cvfQn22y/z+3eDXJ+h894qK+G99zqfj7/8BSZNMuWng6kgQsULL8Bll8HXv74r3/qWP9e05v0Q4JbQd4SmI0SjgpuaPkTPmc/p2slUQ02Ho7SsXp1bOn7jhNSPz0bbKXr3NhNNbdliNL6osG6d0XL798/NOuOUHacsRQXnW812ZtFkolr3OU7Xffr41y9hhX4IcEvoOx9+1Lz33Rb6URu2V8hCX9UdoS/SKjjSzMsTSpx3lauVuX9/0zVQVRUtZ7ZcI5E6OEG9rNDvGCv0Q4BbQn/QILOOmtDPNRqfQ1Sj8hWy0N+4EerqjFk+Pr9Op3EaDYUo9IuKWtOI0vfvlqbvvPsVK6IVldApqyKN3H8/VFd7f81AhL6IXCIiS0SkXkTmisgR7Rz7oIhoimWrn3n2Ekfo59ra7d3b9A9u2WIq0qhQyJp+c3NrJe002jpLFIV+4siNXHHSiFKjz60GX2IaUTHxV1fD88+b32vX5ibwSktN+W9ubq1Pw4wqXHcdvP66+b99eyM/+Yl5h9dd5+2wY9+FvoicBdwB3AwcCLwFvCwi6T77HwGDk5bPgX96n1t/cEvTF4metl9XZ/o1u3bNXduJYlS+devMkM0BA3IbsgTRFPpumPYdClnTh+gIfUfgDRkCL79stk2dmrvAc5QGpyEZZq6/HqZMab3XyspGtm41wdWmTDH7vSIITf9y4EFVvV9VF6jqpcBq4OJUB6vqZlVd4yzA7sBI4H7/suwtjpDKVehD9IS+G2P0HRId+aISoMdNTS/KQj/Xrh2wQj8qQt8ReIkhoxsbcxd4UXHmq66GW25pa42trGzt06+rM/s3bfLm+r4KfREpAcYBU5N2TQUOyzCZScBHqvqWm3kLErc0fYie0HcqPTfuvUcPM/Rn2zZ/+sbcwHn3bpp3oyj0raafe1pREPqpBF4iuQi8qLz/p57aOR5DcbEm/Ycnn/Tm+n6P0+8HFANrk7avBY7r6GQR6Ql8A7i6nWMuBC4EGDhwILFYrLN5TUltba2raW7bVsTmzUfStWsLH3wwvdMTjjiojgaG8MYbn9CnTzi//sRnOG3aAGAMRUXriMU+zjntPn2+TE1NBc88M5s99gi/20csNgQYjcgqYrFPMj4vVTlsboaioqOoqhJee+0NunYNv7ljzpwxwABqaz8mFluXU1qrVnUDDuaTT+qJxd7u8Hi3v+XO8MknXwJ6sHr1e8RiW3JKa/PmQcBevPfeGmKxha7kryOyfYZVVXDzzaZLSxWuvvoImpqK+dWvZlBWZkJJFhXBv/8N/fplm5ddgFG8994KYrHF2Z3sI927wy9/CStXdue228YzeHAtQ4fWcsstsZ2O86R4qqpvCzAEUODIpO3XA4syOP8HQD3QJ5PrjRs3Tt1m2rRprqa3aJEqqO62mzvp3XCDSe/aa91JzwsSn+GUKSa/l13mTtonnGDSe/FFd9LzmuuuM/m9/vrszktXDgcPNuktW5Z73vzg4INNfmfMyD2tbdtMWsXFqk1NHR/v9rfcGYYONXlesiT3tF5+2aR13HG5p5Up2T7DyZNVRUw+0y0i5rhs+cc/zPkTJ2Z/rp/cd59qRUXbe77llmlt/ldUmOM6CzBH08hFv/v0q4BmIHlalYFAJgbpScDTqhqx6Orpcctz3yFq5n0nn52daCeZqHnwu9mnD9Hr13fTvF9WZspR4oiIMNPS0prPQjHvDxoE5eXtH1Ne3rmRLM45a5PtyCFj4sSO58doboYzz/Tm+r4KfVVtBOYCxyftOh7jxZ8WETkI2J88cuADd/vzIXqVvvOB5jpczSFqY/ULWeg3NJh8FhW5d/9R6dcFY+puajJzDpSW5p5eFIS+lwLPURzC3uDr3RuuuCL9BEvl5WZ/NnMIZEMQ3vtTgPNE5P9EZG8RuQNj9r8XQEQeFpGHU5x3IfCpqsb8y6r3uC30o6rpuyX0raZv1lEQ+olObG5NEOQI/SgM23LTiQ9MDPuuXY0TXFjjdDgCL522n4vAi1LdN3kyHHCA+e0M1a2oMNaqyy83+73Cd6Gvqk8APwauBeYBhwOnqKrzmQ6LLzsQkUrgm8BffMuoT1ihb9Zumfetpm/WURD6bjf4oPU7isL9uy30RaIxgmPyZCPYEj3Y3RB4vXoZAVpTE95Gj4NI6xDDc84x7+2228x7u+kmcnbobo9AZtlT1buBu9Psm5BiWw3Q3eNsBYKbY/Shbb9WS0vuY9+9xm3zfpQ0/cZGM61yUZF706FGSeg7796tBl9iWmHv1wX3hT4Y4bFsmWlM7r67e+m6iYgRbJ9+Ck88AaefDqecYkz6uZi0Rcz7/+IL8/53282tHHuD0+j9znfM2q8JH0MuEvIftzX90lJjQmtqMvOUh5nmZhORDtwTelEK0JOo6XZ2HvVkrNBvm3aYcaw8bgv9xLTDjPOOLr7YTIvrRh92VJz5oPUbddPSlQlW6AeM2977EB0Tf1WVsUY4fZFu0LNndAL0uG3aByv0oyT0nXfk5vuPktB3rHG5TraTSFTqPnB35EY2WKEfIIlDi9x88VGZbctt075DVEz8Xgj9KPTpOnjx/qPiwQ3emfch/EJf1b1pdROJyvuvrTVLWZmJJOonVugHyNq1RvC7MdlKIk4lGvaK3wtHLoiOM59TMbvVtQNtNd2OhkYFjdX0zboQhX51tYm1X1lpFreIink/Udnz0mkvFVboB4jb/fkOUTFxue257xAVS4ebcfcdSkpM+NKWFuMkGGa8EPqOb4gze2FYqa6G2bPN7+nT3euKiorQd3x53P72o6Lpe6XwZIIV+gHildCPitDzquAnVvxhxgvzPkSnX9+LRl9ZmfHraGoKp0+HM63s4MEmj2Bi0bs1j3pUhL4XDT6IjqYflBMfWKEfKG4P13OIinnfqz79qJh4vRb6hVrxh/n9O9PKNjS0bqurc28edSv0zToqCo/fTnxghX6geOG5D9Er+G5/+I6mH8ZKP5FC1vTr62HLFhOJr3dvd9MOq9D3clpZh549oVs34yRWU9P5dLzGeTduDdV1iIp532r6BYo175u1V5q+Ne+7m66bJFb6bgeQCqvQTzWPejK5zqOeGJUvzNq+V336ieb9MMfpsJp+geK1I1+YK30obPN+XZ3R6Lp2NXEK3CTsQr+6Go44wvzu0sX9vvewvv81azoOD1tXl3tjPQpC3yvzfvfuxtJRV2esHWHFavoFilPw3W7t9eljhMnmzSZITVgpZPN+YmAWt4fshFXoO05sQ4a0+rOsXOmeE5tDWJ25vJxWNpEoCX23zfsi0ejetN77BYrbIWgdEgt+2Co+h+3bTZjgoiIzxMxN+vc3z2DDhlYP6bDhlWkfwiv0HSe2+vpWAd/c7J4Tm0NYNX2/5lGPgtD3yrwP4a/7wJr3C5KmJhOGVsR98y6E38Sf2OBxK+68Q5cu5pmqmmccRgpN6PvhxOYQVmcuL6eVTSQKQt8r835immF7/w7OnCMi7it8mWCFfkBs2GCEUt++7s0lnkjYTVxem7fCPlbfD6G/Zk14nJn8cGJzCKumD63TyiZ26bg9j3qUhL4XQi/smv769SZwVL9+7s05kg1W6AeEl+YtCL8Hv1f9+Q5hrvjBW6FfXm6GbjU2wsaN7qffGfxyYoNwv3tnWlln2tdLL3V/HvWwC/2tW827Li31Ju582BWeIJ34ADzQMS2Z4GVLF8Jv3vfKc98hzBU/eCv0wTT6Nm8279+L7qNscZzYtm5Nf4wbTmzQdsimqv+xzTPBKZc33WQaaG4SdqGfaNr34t2E3bwfpBMfWE0/MLxy4nMIe2u30M37Xt9/2Pr1/XJiAzNkq7LSWDrc8BFwm5oa0/jp1s0bTTcxImNYuncS8UvhCWuDP0gnPrBCPzCsed+sC9W879f7D4vQ98uJzSHM79/RwL2aYa2y0jzP+vpwjlX30okvMd2w1n1Bm/et0A8Ia94360I173tt6Qlj/H3Hia20tHVbebm7TmwOYX7/Xkypm0yYLV1eN3ijYuUsKE1fRC4RkSUiUi8ic0XkiA6OLxGRyfFzGkRkuYhc5ld+vcCa9826EM37zc2tQwndjlHgEDZNH1qd2JwpZSsr4fbb3XVic4iC0PfKnwPCXf790vTDGoo3aE3fd0c+ETkLuAO4BJgZX78sImNUdXma0x4HhgIXAp8CA4FuPmTXM/wS+mvXmuEhbsc3z5VCNu9v3GjeiRM50QvCKPQd6uvNevfdYdIkb64R5vdf6Jq+11bO8nLToKypMT4dbk/olCuF6Mh3OfCgqt6vqgtU9VJgNXBxqoNF5ATgWOAUVX1NVZeq6juqGvMvy+7jdWu3rMz0j27fHp5hW4l4XfDDXOl73eCDcAt9r8s+hNuZq9CFvtfmfQj3+y8o876IlADjgKlJu6YCh6U57XRgNnC5iKwQkU9F5I8i0t27nHqPHxV/WE38DQ1FbNlitFyvWuGJlV7YTHxW6Ju1l5V+mBt9fmh6YRb6fjb6wlb3QfDmfb81/X5AMZD8Ka4F0j2CkcDhwP7A/wI/BE4CHvQmi96j6m/FH7aCX11dAng3Thdah21t3x6+YVt+vvswCj2vnTgh3B7cfmi6URD6Xpb/sL7/2lpvh2tmQhSC8xQBCnxbVTcDiMgPgVdFZKCqtqnWRORCTN8/AwcOJBaLuZqZ2tranNPctq2YbduOoKysmTlzZriTsRSI7A0M5D//WUCXLuGp/VesMMWuomILsdh7nl2nR4+DqKkp54UX3mHYsPBMN/jmm7sAo9i+fSWx2KedSqOjcqgKXbocSW1tEa++Op3S0pbOZdYD5s7dAxhKTc1iYrEVnlxj5coewJdYvDh9GXPjW+4Mn38+Dqhk+fI5xGLejKmrqhoAjOHDD9cSiy3w5BrQuWe4cuVXgK4sXvwmVVXbPclXc7MpYzNnfsqgQSs9uUZnWLGiG3AwvXpt44033tmx3deyqKoZL0AJcAOwEKgDmpOWpgzObwLOTNp+F/BGmnMeAhYnbdsV0xD4cnvXGzdunLrNtGnTck5j8WJVUB0xIvf8tMdPfmKu8/vfe3udbLnppvkKqqed5u11DjvM3P8bb3h7nWy59lqTrxtv7HwamZTDXXYx11m2rPPX8YJvfMPk69FHvbvGZ5+Zawwblv4YN77lzjBkiMnb8uXeXWPqVHONY47x7hqq2T/DhgaTr6Ii1eZmb/KkqnrTTeY6V13l3TU6w/TpJl+HHtp2u9tlEZijaeRitpr+H4AfAC8DzwANWTYwGkVkLnA8kDi1xvHA02lOexM4U0S6q6rTLB4dXy/L5vphwQ/zLoTXvL9xY6t530vC2q/r1/sfMMDMV79uHQwb5u21ssHvPv0wheJVNROugJkC2ivCat538tO/v7cjisLap++HE2dHZCv0JwI3qOqvc7jmFOAREXkXI9AvAoYA9wKIyMMAqnpO/PjHgOuAv4nIjUAvzJC/p1Q1ZEU6M/zo04PwBuhx+vS9dmRJjMEeJvwU+onXCwt+CP2KCrNs3Qpbtrgf376zbN5s/EwqK80IG68o5HcP4fXeD3q4HmTvyNcdmJXLBVX1CeDHwLXAPIyT3imq6mjtw+KLc3wtcBzQE+PF/0/gDeB7ueQjSPxwZIHwtnYdTd/rgu8837B9+Fbom3UhWnr8evdO0Keqqo7nPPATvxSesDryhUHoZ6vpvwAcCfwnl4uq6t3A3Wn2TUixbRFwQi7XDBN+ffhW0zfrMFX64F+jzzEfh0noNzZCdbUx7Xo9+9/AgfD55+Z5jx7d8fF+4Ne337WrCf60caNZvOxKyIZC1/T9avS0R7ZC/0/AwyLSArwE7BT2RVU/dyNj+Yzfmp7ThxgW/OrTD6OmW10NS5aY3y+/bPLodayCML3/xLJfXOzttcLY6PPr23eusXGjuWbYhL5fdV/YIpL6+f7Tke2jmAWMAm4E3sGExE1eLB3gV2u3b1/jwLRxIzQ1eXutbChETV8VrrvOOPC0xEfP/eIXJv76ddd5E0AojI0er8MvJxKm9+/gt9BPvGYY8EvTLS01jenmZtiwwdtrZUMYhH62mv73MEPlLDng14vv0sUI/qoqU/CDNCk5qPrXpx+mSv/662HKFGhIGO9SV2fWU6aY9U03uXvNMFb6fjV4IZwm3kTvda+x799Y1tauDY+lw8/3n46shL6qPuhRPgoKv1v7VVXmmmEQ+rW1UF9fTLdu0N3jQMphqfSqq+GWW1onmkmmrs7s/+lP3ZtPHsJz/4n4WemH0ZnL6WopVE3fL/M+mPe/YIF5//vs4/31MsHP95+OTvV0iGGsiBwRX4dkFGw08LPic1qUYenXTfRe9brU9OwJJSWmoeFo1UHw1FMd918XF8OTT7Z/TLaE0ZEvCKEfRk2/0IV+IVp66upMXVRSElwIXuiE0BeR/8PMijcfiMXXq0TkAnezlp80NRlTu4j33ssQvg/fj7jrDiLhGKu/Zk3HjY66Ovc10sQGX1gmHbJC36wLVej76b0etiHLiUGZglSTsxL6IvId4D7gA0z//inx9QfAfSLyLddzmGdUVZl1v37eey9D+D58P817idcJsuIfNMjM8d0e5eXuN4ScADUNDWZu8TBghb5ZF6LQb272JxqhQ9i6d8Jg2ofsNf2fAX9X1eNV9SFVfTW+PgETOe/n7mcxv/B7nGbYzPt+F/wwVPwTJ3YcIKW5Gc480/1rh63i99PSkxyKNwwUstDfsMGMXOnd25i4vSYMVr5EwuC5D9kL/T2BR9PsezS+39IOQWm6hVrww/Dh9+4NV1yRXtsvLzf73XTicwjb+/dzyF737mYK023bTF9q0CQOHyvErr1CV3iiKvRrgKFp9g2N77e0g98vPqwfvl9DVsJg3geYPBkuv7xtkJCKChN//fLLzX4vCJszn5/m/USfjqDfPxiBr2oEfhcfJjUP27fv57uH8N2/n10b7ZGt0H8ZuFlEjkjcKCKHAr+K77e0g99CP2yVfiGa98EIoJtuah069P3vw223mRDJN93knWNPmKLybd9uAkUVFbXGhveasLx/8P/b79XLNC62bEk/XNRPrJXTrIPW9LNtb/4MOASIichKjBf/IIyWvzi+39IOQbV2w1DpQ2Ga9xNxzLvXXOPPdLdhqvicPPjlxAqFLfRFzLVWrTLf/667+nPddPhd9yWPXgl6YHlYhH5Wmr6qrgEOAH6ECcm7BXgbuBQ4UFVD8GmFm0I271dXw1tvmd/Tp5v/XhMW8z6Yiieo7o0wvH+/K/3Ea4Xh/QdR6Yfp/fvdp19RYfxl6uvD4dMRhmh80Ilx+qpap6p3qupZcS/+s1T1blUNMPxJdAjCxFdcbObxTgwB6ydO3PkhQ8wsawB/+IO3cecdwlTpJ86l3q2bP9cs5Eo/8VphGLZV6ELfb/M+hKt7M6pD9iydpLoa9twTXnvN/Per0i8qai34TowAv3Hizif2K27bZv5PmWL2e0WYzPtBVPphrPT81HTC1L1lhb5Z+9noK/T3n4oOhb6IfC4i+8d/L4n/T7d85n2Wo0Wilrt4caume9pp3mu5DkF++E7c+cSIdOXl23f8duLOb9rkzfX79jUNnw0bjJYdJEFW+oVa6YXp/oNs9IRB6Adh6QnL/QfRtZeOTBz53sD03Tu/QxLmIhqk0nLBCH+vZldLJkhtL1Xc+e7dG6mr67rjvxN3ftIk969fXGwcx9atM5XukCHuXyNTCl3Ts/dv1oV6/4Vs3q+tNd2r5eXG1yBIOhT6qnp+wu/zPM1NnhHU7GrJBKntpIo7X1HRVuX2Iu58IgMHmo9+3brCE/rO0Lj16000tKIAO/SspmvWhSj0VQvbvB8W0z5kH3v/ehFJWW2KyGAR8bB3NnoENbtaMkF++Kniznfv3lboexF3PpGwePAH8eGXlJiIgC0tZox8kATp0xB0pQ+FLfS3bDHWTWc+CL8Iy/1HVugDN5A+It+Q+H5LnKBmV0smSBNXqrjz3bs3tvnvVdx5h7A48wX14YfFxBnE/ffta8Znb9hgZrgMkkIW+kGY9iF8ZT/o/nzIXui3F96gN5DRoDARuSTuFFgvInOTI/wlHTtBRDTFsleWefedoGZXSyZIE1equPOJmr6XcecdClnTT7xe0NpuEOZ9x6cDghu9AqY/d8sWEyHPy7KeTFiEflDD1cJW9sOg6XfYpy8iE4BjEjZ9X0ROSzqsG3Aq8FEG6Z0F3AFcAsyMr18WkTGqurydU8cCiQbKEBjs2mfiRLjssvaP8VrLheA/fCeu/G9+Y+63e/dGKirMby/jzjuE5cMPWugHXfEHaelYv94sfszul4qg5lJP1HSDjEpny75ZR0LoA0cB18Z/K3B+imMagY+BDkQcAJcDD6rq/fH/l4rIScDFwNXtnLdOVQNsq2ePo+VOmZLazF9eboSe1y3/oAu+E3d+3jx48UXYddft3Habaez4ofUEff8OhVzxbd1qvoHSUhOcyE8GDICPPw72/oN69+XlZrbB2lpjaejZ09/rOwTdtVWoDf5UdGjeV9VfqmqRqhZhzPuHOP8TljJV/ZKqzmovLREpAcYBU5N2TQUO6yArc0RktYi8LiJHd5TvsODMrlZW1jqzVkmJ97OrJRKWgr95s1nvttt2Jk3yz8wZBqGXeH0/vZchHPcflKYL4bj/ICv9Qr7/ZEtHUIRlhj3IcsKduODPhX5AMZDcu7oWOC7NOasxVoDZQAlwNvC6iBylqjOSDxaRC4ELAQYOHEgsFssxy22pra3NOs1jj4UJE+C668Ywa9YALrnkY047bR3FxfDGG65mLyVbtxYDR7B6dTOx2E6PzDeWLj0IKKekZJPr76U9vviiEhjHZ59tIRZ7z7frJtLcLGzYcBRFRcr8+W/kPOFMNuVw06YhwGjmzVtJLPZpbhfuJAsWmHfQrVsNsdhcX6/d2DgK2IW33vqUwYNX7tjemW+5s7zxxkBgb1TXEost8OWaDmVlBwI9eeWV91i5ckuHx2dDps/w/ff3AIayefNiYrEVruahIyoqDmfr1i68+OJMKiuD8eZctGg/oA+rV/+XWGznSUf8LIuoaqcWYAAwLHnp4JwhmC6CI5O2Xw8syuLaLwHPd3TcuHHj1G2mTZvW6XOPOkoVVF9/3bXsZERLi2ppqbn21q3+XjuR3r1NHp59dqav1/3sM3Pd4cN9vWwbVq0yeRgwwJ30simHTzxhrv2//+vOtTvDiy+aPJx0kv/X/uUvzbV/8Yu223P5lrPlD38wefjJT3y75A6+9jVz7WeecT/tTJ/hWWeZPDz6qPt56IjddzfXXrTI/2s77LefycN776Xe73ZZBOZoGrmY7Tj9IhG5WUQ2YDTwJSmW9qgCmoFkA+dAIJuBa+8Ao7I4PhQEZeISCd7Ev327CVZUVASVlf7Gw000bwZl4rPmXbMOwrwZpvsv9Pdf6PcfBvN+tub6HwM/AG7F9O/fDPwKI+w/A9oNpKqqjcBc4PikXccDb2WRjwMwjY5IUcgF3xku5edc6g4VFWaCo23bjENZEBTyu0+8dhD3H3SDF+z7L+T7b2lprf+iKPTPByYDv4v/f1ZVbwD2BlZiTPwdMQU4T0T+T0T2FpE7MGb/ewFE5GERedg5WER+LCKni8goERkrIr8BTgfuzDLvgdLUZAKEiJiAIX4TdMEPsqUrEp77L8RKD4Idpxym+y9US0eQ9x90o2/TJlP/9+xpRq8ETbZCfySmr6AZaMKMz0dVtwO3A9/rKAFVfQJjMbgWmAccDpyiqsvihzj+AQ4lwB+A+cCM+PGnquozWeY9UILUdCH4gh90cIqg7z9Iod+nj+lWqa4ObqZBa95vmxc/Cfr+m5vb1n9+E/T9h2m4HmTpvQ9sBsriv1cBewJvJqTVJ5NEVPVu4O40+yYk/f898Pss8xk6gn7xhV7wC/n+i4paZxqsqoLBg/3PgzXvm3UhCv2NG42Ju3dvM1zZb4K+/zAN14PsNf33gTHx368CvxSRb4nImcBvgGDGQ0WAQhd6QRf8oO/fvv+2+fCTXr1MjIzNm004XL9JnEu9EIW+tfKZdVg0/WyF/u2AE1vuBozH/d+BJ4CuwA9dy1meEfSLd2Lf33sv3H+/MfX6SdD3H3TFZ+/frINo9BUVBVvx19aa6bWDmku9kN89hOf+Iyn0VfU1Vf1z/Pca4CBgNMabfrSqznc9h3lCUC9eFa67zkT/A+O9/pOfmHnlr7vOvyFsQRf8sLT2C7HiS9R0g7r/IN9/0GU/6JkGg77/oGfaC7rsJ5NThL14HIDFqjo/7sxnSUNQBf/6603s/0QHrq1bjeYxZYrZ7wfWvG/WfofgdQjy/mtqgplLPZEg7z/ost+lixH8qsHMNBi00A96wq2guzeSyWSWvSOzSVBVp3c+O/lLEAW/uhpuucUI+FTU1Zn9P/2p93HwE+8/CG0jLEI/aG0nSE03SE0nyPcf9Lt3rl1VFcxMg0ELvcSplZub/R89FYb3n0gm3vsxTOjcjpD4cQEMSAs/QbT2n3qq4wJeXAxPPgmT2g2rlDuJFf/qAMIqBVnpOzPMlZWZGc+CoNCFXhgaPUEL/aBmGgy60de1qxk5UF1tRhL4nY8wvP9EMhH6kZnRLswE8eLXrEk9pW8idXXmOK9JbO0HIfTDUukHNZ95GMzbQQs9KNxGj71/I/TXr/df6AfdvZNMh0JfVX2YBy7/CaLgDxpkPIbbCz1bXu69ua++3szl3aWLf9PpJpM8xaafwndtfE7JoPrzIRyVvjXv+39tB3v/sGiRycuYMR0f7yZhuP9Ecp0q15IhQbz4iRNNH1Z7NDfDmWd6m48g51J3KCuDHj2MP8GmTf5eOwwffaFr+mGx9ASF0+BcmzypuQ8U8vsPOvx6KrKKyCci/+ngEFXVY3PIT15SV2fG6paUGMHjF717wxVXGC/9VGb+8nIzlM9r7TsMH71z/S1bTCXcu7d/1w1DpV/oQi8Mmm6hWzoK8f43bDCWxb59jaUzDGSr6RdhHPYSl37AVzDj9QPS48JNotDzW9OdPNkI9rKy1m0lJeb/5Zeb/V4ThkofghuvG4b779HDTPZRW9uxn4fbFHKln3jNQuzeSZxSu09GQdq9Iaj7D4vCk0i2wXkmqOrRSct+mNC81Zipdi1JBFnpi8BNN8GqVXDSSWbbKacYZ7qbbvKnERIWR5agxuuGQegHOdNgGCq+IC0djkm9EC0dQU805hDU+w/Dt5+MK336qvoZ8FvMbHiWJMLw4nv3huOPN7+HD/fXoS4M9594/ULU9BOv73e/bhjuv7LSWDq2bm3fsdVtEmeYK0RLRxjefeL1C/X+E3HTkW89xsRvSSIsLz7ogh8WTb9QP3zHvFyI7z/R0uGntufMMNenjxkvHhRBN/gK9dsPi5UzEVeEvoj0BS4HPnMjvXwjLJV+UCauMJh3obD79BOv72fF39ISDk038fp+lv8wDNcEY+koKzP+HH5aOsJS9q15v5VsvfeXsHN0vhLAKdL/60am8o2wtPYKXdMNqk8/LBV/EJr+pk1m2FLPnsa8HiRBlP+wlH3H0rF8ucnTbrv5c92wNPgLve5LJNtBBG+ws9CvB5YBT8b79i1JhOXFB13wC7HRk9in68QAD4ogNP2wvHsI5v2HwYnPIQihH5a6r08fM4Jg40YzosCvrpYwlX+HrIS+qp7nUT7ymrAU/EQTV0uL+Qj8oJBb+2Hp04VgNP2wvHsIxsQbhuF6DkFaOoIWesXFZqz8+vVm7Lxfkw6FxcqXSE7VvoiEqP0SXsIi9EtKjBd/c7MRRn4RlvsvZPNuYh6C0PTDdP+FrOmDff9BvP9IC30ROUpE3hCRbcAaEdkmIrFspuAVkUtEZImI1IvIXBE5IsPzDheRJhH5MNt8B0kYC75fH74zw1xpaXAzzDk4YTA3bOg4PLFbhOndB6Hph0XTg2AbfWGo9Avd0mOFviEroS8iZwL/AQZgxuRfBtyCceT7j4hMzCCNs4A7MIF8DgTeAl4WkWEdnNcbeBh4PZs8B41quCo+v2NwBxmNMJkuXYzgVzWC3w/CJPSD0PTCVOkH6b0fhvsvdEuX3+/fiQlRWupv+PWOyFbTnwz8Cxirqter6l2qeh0wFngFuCmDNC4HHlTV+1V1gapeCqwGLu7gvL8CDwGzssxzoGzebBxHKiuhW7egc+O/0A/TRw/+V3xhuv9+/UzDa8MG41HvB2G6/0LX9Au5Tx/8v/9ELT9ohSeRbIX+bsA9qtqSuDH+/25gRHsni0gJMA6YmrRrKnBYO+ddgrEm/CrL/AZOmCo9CE7TD8NHX10NS5ea33/7m/nvNWHS9BItHc6IAq8J0/svdE3X7/vfts3M9dC1qxmyGTR+x+kI07tPJNshe58C6T7f/sDiDs7vBxQDySJnLXBcqhNEZF/gBuAQVW2WDppMInIhcCHAwIEDicViHWQpO2pra7NK84MPegIHUla2mVjsfVfz0hnq6oYDuzF79jJisSWeX2/69EHAXjQ3ryEWWwhk/wzdYNUqWLMGRo0aw/z5A1i//iP+9rf1DBoEQ4Z4d91580YDQ9i8+RNisVWupdvZZ9i9+5epqqrgX/+aze67ex+l5ZNP9gd6s2rVPGKxTZ5frz3q64uAI1m7toVp06azdau35VAVVq8+Aihm0aIZfPGFT44kaVi+vDswniVLaonF5riSZnvlcO3aUuBQevZs4I03gjfQbto0BBjNf/+7iljsE8+vN3NmX2BfunTZQCz2QbvH+lonqmrGC/A1YAnw5aTtB8e3n9bB+UMw4/yPTNp+PbAoxfGlwMfA2QnbbgQ+zCS/48aNU7eZNm1aVsc//bQqqH79665npVPcd5/Jz/nn+3O9m28217vyytZt2T7DXLn2WtXycpOP5KW83Oz3iq9/3Vzn6afdTbezz/Doo01+pk51Nz/pGDPGXG/+fH+u1xEVFSY/mzd7Xw5rasy1unVTbWnx9FIZsXKlyc+AAe6l2d4znD3bXO+AA9y7Xi44dfHXvubP9f78Z3O9732v42PdLovAHE0jF7M1718JlAFvi8hSEXlHRJZinPFKgZ+JyPT48kaK86uAZloj+DkMBNakOH4wsDfwt7jXflO8gTA2/v+ELPPvO2Eyb4L/5v2gvVerq+GWW9JPJ1tXZ/Zv2uTN9cNm4vPbgzts5d9PE3di104Y+nSdd1BV5c/olbCW/UKp+9KRrdBvBhYC0zGafV18PR1YFN/vLC3JJ6tqIzAXOD5p1/GYhkMyK4F9gQMSlnsx3QgHpDknVIS14PvtzOJXMIxknnqq4yk9i4vhySe9uX7Y3r+fHvxhikbo4KcHd5ic+MD0rffpY4JF+RGnI0wjN6C1Dip0oZ9tRL4JLlxzCvCIiLwLvAlchDH73wsgIg/Hr3WOqm4H2ozJF5F1QIOqRmKsftgqfb9bu2vWtL2u36xZk17Ld6ira82n24T1/fvR6NuwwXSi9O1rnAjDQKKm77VzWZicOB0GDDACf906760vYS37a9aYcum19SWsQt+nQKytqOoTwI+Ba4F5wOHAKaq6LH7IsPiSF4St4Cdqepo8i4IHBF3wBw2C8vL2jykv98YSsW0b1NSEx3sZ/NX0w2baB3/N+2HT9CGY+w/L++/eHSoqoL7efJdeE7a636EzEfkGi8gtIjJbRD6Lr38vIhlXm6p6t6qOUNVSVR2nqtMT9k1oz6Kgqjeq6j7Z5jsowvbiy8tN4W9sNDEEvCZo8/7EiR33XzY3w5lnun/txHcfhj5d8FfTD1vZB3/N+2HV9MGfRl8Y33+itu81QSs86cg2It9ojHZ+GVALvBtf/wiYJyKj3M5g1Alzwff6w29sNKZEZ7KLIOjdG664Ir22X15u9vfq5f61w6zp+VHpW6Fn1mF6/342+sLWpw/+dm/mhdAHfgdsAUar6tGq+i1VPRoYDWyO77ckUMhCP9G859eMfqmYPBkuvxzKytpq3KWlZvvkyd5cN8zv3o9K39GmgrLypKLQLR1BmPfDdP9OWfRa029oMCOCiouN82SYyLYqPhq4TlWXJm6M98ffGN9vidPUZJyZRILTdFPhl9APS6UvAjfdZAL0/PnPrRP/vPee2e6V6T2MlZ6fPh1Bd+2kwq9KH8Jt6SjEPn3wX+EZMCBYhScV2WanBEjnAlET32+JE0bvZfCv4IfNvNW7N0yaBCNHmv8NDd5eL4xCv6HBWDgaG+GPf/Q2FHFYGn2J+Cn0w2je90voJ040Fqby79ewvbDVfYlkK/TnAZeKSJvzxMTGvSS+3xInjIUe/Bf6Yar0wb+KL0zvXxWuu86EHHYaO1dfbf5fd503Wn+hC/0wa/pef/u1taaclZcbj/mw4JcjX5i+/WSy1T8nAy8CC0TkCczseIOAM4FRwKnuZi/ahHHIEvjXrxn0GP10+DXxRpg+/OuvhylTzHAlh23bzHrKFLO+KZM5MrMgjEK/d28zhHLTJmhs9M7uun27cWItKgpX114hNngTKVQrZyLZlvo5wFcxzny/AO7CjLevxcTdT549r6CxBb/t9cKC8z68HrYVlvcfVCjiMAr9oqLW8rhxY1fPruOUrX79Oo4I6Sd+NfjD2J8P/ll6wlr3QQZCX0SKReRGEanGzIb3/4AvgF3jS6WqHqSqr3qb1egRlko/GWveN2u/7j/o9x9EKOLm5vCWf6c8btzonQtSGPvzAXr0gJISY37vKFJlLoSxwQdW4YHMzPsXYSa5iQGzgZHAGcBmVT3fu6xFn7BWen4JvbCa9wcPNuvVq729Tlgq/iBCEVdVmRjv/foZc3qY8EPoh6XBl4yIydOKFcYaMXy4N9dxvi3nWwsLfoXiDbPQz8S8Pwm4X1WPUdWfq+qZwA+A74qI9dZvh7AK/UJv7fph4mtpCY9PRxChiMOq6YG/mn7Yvn3wp18/rEK/osKfiKRhbfRBZkJ/JJBs+HsCKAY8aifmB2H98CsrTaCaujpj5vOKsFb8fmj6mzaZOA09e5ohckESRCjisL57aM1TdXXhmffBH0tfmN+/H0pPmN9/JkK/O8ZxLxFnrH6lu9nJL8Iq9EW8L/hhjkjlh9AP07sPIhRxmCv9Qjbvgz/OfGHV9MEfS19YrZyQuff+LiIy0lkw2v9O2+P7LHHCVPEn47XQT2zphi0iVb9+Jk8bNhgznxeE7d2nCkUsYv57EYo4zELfici4alUJ99/vTYCiMGt6fpr3w/j+va77mpqMT4tI8F17qci0On4K+DRhWRjf/lzS9k9dzl+kCeuwFfC+tR9WJz4w1ge/Gj1hEfqJoYidcfllZaZy9iIUcRiFvhOg6MILzf/160v4yU+8CVAUZk3fD6HvvP9C1PSrqsIZidUhkyxZD/1OsHWrmbO5tNSbGdxyxWuhF2bzFpjKaPVqs+y6q/vph7XS790bLrsMrrzSBOcpK/PmOmEU+k6AIse6s2VLCVu3mt9uBygqZE2/uTnc33+h130dCn1VfciPjOQbiX1aYZlLPRG/Cn6YKv1EvO7XD5umn0hRkcnXqlVmhIEXjZ6wCX0nQFFiRMKamtY+fSdA0U9/6k4jPayNPvDeka+qygj+Pn2Cd2JNhdeafpjfPWQfkc+SIatWmfWQIcHmIx1eC/0wm/fB+w8/zJoeeF/xh03opwpQ1NTUdoNbAYrCOtmMg9eafphN++CvP1MYsULfIxyhH9aC73WlH3YTVyFr+uCfT0dYhL6fAYo2bTKx9ysroVu33NNzG6/ffZg998Ga963Q9win4Beqpm/N+2YdVqHvZaOvvt4Ivq5djQ9BGPAzQFHY373jWLx+vQki5TZh9twH/8z7VugXGGHX9AvdvF/oQt9LbS+xTzMswzX9DFAUdvNuSYnxW2hu9ma4YpTM+15MKW2FfgpE5BIRWSIi9SIyV0SOaOfYo0TkLRHZICLbRGShiFzhZ347g9X0zbpQW/vO+w/rh++lph820z74G6Ao7I5c4O37D7t5v1s3M/HQ9u3eNHrC/v59F/oichZwB3AzcCDwFvCyiAxLc0ot8EfgSGAM8CvglyJyiQ/Z7TRhd+Rz5hXfsqWtR7NbFLKmX1NjlrKy8Ji3k/FS0w+j0Ie2AYqcSYC6dnU/QFHYNX1oLf9OPeUmYTfvg7dKj9X0d+Zy4EFVvV9VF6jqpcBq4OJUB6vqXFV9XFU/UtUlqvoo8CqQ1joQBsLe2nVm2wL3K/76ejOZRZcu4RV6iZq+2/2aTkW6yy7hHK4JhafpQ9sARd/6ltk2frz7AYrCrumBKZvgjdAPu3kf2s625zZhb/T5KvTjs/KNA6Ym7ZoKHJZhGgfGj33D3dy5S9g1ffCutRvmELwOjhbe1AQbN7qb9sqVZh2Fd19Imr5D795w1lnmd48e7gfPCrs/B7SWTaesuknYFR5oLZtu130tLeF//34HCeyHmZ0v+VGvBY5r70QRWQH0x+T5l6p6b5rjLgQuBBg4cCCxWCzHLLeltra2wzS3bStiy5Yj6dq1hf/+d3potb2uXfcF+vLvf3/A1q0bXEt3wYJKYBzl5TXEYnN32p/JM/SDHj2+THV1Bc8/P5uRI7e6lu7rrw8E9qZr17XEYgtcSzeRXJ/h+vUlwGF88UUjsdhbruUL4L33RgG7UFPzKbGYB1LFBVas6A6MZ/HiWmKxOa6m/dFHY4H+VFV9RCy23tW03WLbtqHAHrz77kpisc5HT09VDleuPAIo5tNPZ7B6dQfekwHR1GTK6MyZixk0aIVr6W7e3IWmpsOpqGji7bdnZnyer3Wiqvq2AEMABY5M2n49sKiDc3cD9gUmARuBszu63rhx49Rtpk2b1uExn36qCqojRrh+eVc57zyTz7/8xd10n3/epHvyyan3Z/IM/eCYY0w+X33V3XR/+1uT7uWXu5tuIrk+w4YGk8eiItXmZnfy5HD66SbtJ590N103WbnS5HHgQPfT/spXTNqxmPtpu8U//2nyeMYZuaWTXA63bDHpduum2tKSW9pectNNJp9XXeVuuh99ZNIdPTq789yuE4E5mkYu+q3pVwHNQHJvx0Cg3d4VVV0S//mBiAwEbgQecTuDbhD24XoOXvXrht1z38ErZ77EPv2wUlJizNzV1Wa2QTcnhYrC++/fH0SU9euF5uado/XlQhQc2bwy74c9/LiDV12bUfDn8LXHVVUbgbnA8Um7jsd48WdKERDCqM6GsA/Xc/Cq4Ifdc9/Bq2F7UejTh9b8ue3MFfY+fTBe+z17bqelxQSpcQvV1vcf5kafkze3hX4U3j149+2H3XMfgvHenwKcJyL/JyJ7i8gdGLP/vQAi8rCIPOwcLCKXishpIjIqvlwAXAE8GkDeMyIKTnzgfWs37B9+IWv6AEOHmvUK97o0UY1Oxd+nj5luz82Kf8MGaGgwzoHdu7uXrts4ZX/Nmo6DFmVDFJz4wB8n5rDi+2y/qvqEiPQFrgUGAx8Cp6jqsvghyeP1i4HfASOAJuAz4CrijYQwUugFPyqavldCPwqaHrTmz02hX1NjpuytqAi30AMj9D//3F2h7zzLsL/70lLo18/MiLdunXt1VRS6NsC7IXtR0PR9F/oAqno3cHeafROS/t8O3O55plwkapq+28O2olDwoa224xYtLdFp9Hmh6UdFywfo3dt9Td95ls6zDTO77GKE/sqV7pXVKIzRh7Z1X0uLe0OLo1D3hXQUdbSJiiNfoZv3nfy5qelXVZnwnn36hHOGtUQKXeh7Yd53rDxREfrgrk9HVBq8ZWXQs6f7cTqsI1+BEhVHvr59TQt3wwZobHQv3UI270fFygNW6Hsh9KNi3gdvPPijYt4HbwL0REHhs0LfA6Lw4sEMU3I7Bnd9vYnnH6ZpVdPRs6dp8dfWmsUNotKfD61C381K3wp9s46Spu/F+w973QfeWDq/+MKsd93VvTTdxgp9l9m61Qi9khJj4g07TuF0CmuuJPZphXmcLpj8ud2vH5XhemA1fWveN+tCNO+D+8589fVm+GeXLuEu/1bou0xUglM4uC30o2Lad3C7Xz8qw/XADCvr1s143G/Z4k6ahS70o6Tpu23eb2w0Pi1FRe4Ge/IKt837zrsfMsTdYE9uY4W+y0SlP99hWHyApNuafhQqfXC/Xz9Kmr6I+9q+FfpmHYVGn9vm/cSJZsIs9Bzc1vSjYNoHK/RdJ0qOXGA1fbeFfpQ0fShsoV9Z2UTXrmYa6G3bck9vyxZjNenWLfz+LOB+RMYomfbBfU3fqUOHJUeaCRlW6LtMVJz4HByhv3y5O+lFqdIH7/r0oyb03dL2ovT+Rdyt+BP786PQtdevn3G4ra52p9ETJc99sJq+xSWiZt53W9NfFo+rGPbWroNXffpRef9uavrNzeGfSzwZN2OwR8m0D6bv3c1+/Sh57oP7Pg1W6BcoUdX03Rb6w4e7k57XuGneb2gw3rvFxdERem4K/Q0bjODv29eMXokCbgr9KHnuO7hp4o+aeb9nT7P+9FO47z5j8cgFK/QLlKhp+gMGGBPfhg1QV5d7elHT9N007yeatqPgyATuxt+PkmnfwQtNP0pC301nvqiY91Xhuutg7Fjzv6EBfvITU2dfd53Z3xms0C9QoqbpFxW1FtJcK/6WltaCHxVN303zftT688FdTd8KfbOO0vt3c6x+VMz7118PU6YYYe9QV2fG2U+ZYvZ3Biv0C5SoafrgnjPfunXmQ+rb18yyFgUGDDANn/XrTcz8XIhafz54I/SjMnIDrKbvZr92FMz71dVwyy3prZp1dWb/pk3ZpVtTY84pKzMOkmHGCn0X2brVDP+JSjQ+B7f69aPWnw9t+99z9eCOoqbfv7/p3tm4MXcPbqfRGCWh5wh9NzTdKPbpu2nej4Kl56mnOu56Ky6GJ5/MLl2n7ozCyA0r9F0katH4HApZ6IN7/fpR1PSLityr+JcsMevddsstHT9xyurSpbmnVcjmfdVoCP01azr2Xaqry74uiIppH6zQd5UomvbBfaEfFSc+B7f69aOo6YN7Jn5HcI4YkVs6fuI0UJYs6bwDF5j+4KoqE3c9KiM3wD3z/saNJgxvjx5QXp57vrxi0KCO81denn3DxQr9AiVqTnwOboXidcy7UdX0cxX6UYvG5+CWB38UNf3evY2gqq3NbV71RCtPVEZuQFtNP5dGT1Sc+CZONMNK26O5Gc48M7t0rdAvUKKu6efqyFfo5v0oxd1PxA1Nv6kpmo0+kbbafmeJohMfGIfbnj2NA24ujZ4oOPGBaeRdcUV6bb+83Ozv1Su7dK3QL1Ciquknmvdzae1HXejn2q8ZVU3fjVC8K1caDWnIEOPBHCXcFPpRe/fgjonfEXpRaPBOngyXX27KaaLwLy012ydPzj5NK/Q7QEQuEZElIlIvInNF5Ih2jv0fEZkqIutFpEZE3hGRr/mZ30yJoiMXmFZtRYUxcW7e3Pl0oir0ne6NXJy5tmwxz6+83JiLo4Qbmr4jMKPUn+/ghtCPoue+gxuOnJ99Zta77557frxGBG66ydTXt9/eOjnS9Olme2ecsK3QbwcROQu4A7gZOBB4C3hZRNK5fx0F/Ac4NX78S8Cz7TUUgiIqJq5kRHJ35tu82Szduplx+lFijz3MevHizqeR6MQXpZEb4K7Qj1J/vkMhm/fBHQ/+KAl9h969YdIkOOAA87+zYXhVrdDviMuBB1X1flVdoKqXAquBi1MdrKo/UtXfquq7qrpYVX8JzAVO9y/LmRFVTR9yF/qJ/blRE3q77WbyvGyZ6ZvuDFF+924IfcdKUuhCv1DN+1EU+g6OZdKxVGZLdbUZ5te9e2s8/zDjq9AXkRJgHDA1addU4LAskqoEcpwewX2i6sgHuXvwR9W0D6Zvb5dd2jqjZUtUh+uBGZ5UVGSCEzU2di4Na9436yhr+lbod+78RC0/CgpPF5+v1w8oBpJjn60FjsskARH5ATAUeCTN/guBCwEGDhxILBbrbF5TUltbmzLNbduK2Lz5SLp2bWH+/OmRePmJNDcPB3Zjxoxl7Lln9rXfa68NAUbTtesqYrFP2j023TMMkr59D2DFil4888x/GT8++/bkzJnDgJE0Ny8nFvvc/Qwm4fYz7NPnUKqqSnnmmVkMGtTQ8QlJzJt3ANCLzZvnEYttci1fXuI8w23bioEjWLKkhf/8ZzpFnVCFPvvsUKCUL76YRSyW/fMLkurqfsA+fPBBFbHYh1mdW1tby4svzmTjxsMpK2tm4cIZLFrkTT69Ytu2QcBevPvuWmKxBVmfP2tWX2BfKio2EovN71QefK0TVdW3BRgCKHBk0vbrgUUZnP+/QB3w1UyuN27cOHWbadOmpdw+f74qqI4e7folfeGvfzX5P/vszp3/s5+Z83/1q46PTfcMg+R73zP5v/vuzp3/wx+a82+7zdVspcXtZ3jQQSb/b77ZufOHDjXnf/65q9nylMRn2L+/yf+KFdmns327alGROb+hwb38+cU775i8H3hg9udOmzZN58wx5++zj/t584PXXzf5P/zwzp1/993m/Asu6Hwe3P6egTmaRi763adfBTQDyVNyDATaHSUtIhMx2v05qvqCN9nrPJ/EldvRo4PNR2fJtU8/yuZ9aHXmc8yU2RLlPn3IrV+/ocGYhouKomnehtxM/GvXmhkmBw40825EjVzN+5/HDVtRNO2Du+b9KOCr0FfVRowT3vFJu47HePGnRES+gRH456nqU97lsPNYoW/WURX6ToXVWaEf5T59yE3oL19uPJh33dVM3hNFchH6UfbcB9NYKSoys2R2ZqbJKPfnQ2tf/MqVnbt/K/Q7Zgpwnoj8n4jsLSJ3YMz+9wKIyMMi8rBzsIh8E/g7cBUwXUQGxZdQzWOXL0J/xQqjtWRLoQv9qAbmcchF6EfZc9/BDaEf1XffpUvrdMidCUUddaFfUmKGWbe0dM7aYYV+B6jqE8CPgWuBecDhwCmq6hhXhsUXh4swDoe3Y4b2OcszvmQ4Q6Iu9CsqzHTADQ1mbvlsaGgwlUVxcXTN24lCP9uohE1N0Y3R4JBL/P0oe+475CL0o+y575CLid8R+iNHupcfv8nFxG+Ffgao6t2qOkJVS1V1nKpOT9g3QVUnJP2XFMuEVGkHRdSFPnTexJ+o6XTxezyIS/TqZYIKdWZazc8+M4J/xAgTyjOK5BKKN8qBeRwK2bwPrULv804MPIm6pg+dF/otLa3v3wr9AmLjRjOtZnl5dDVd6LzQj7pp36GzJv6PPzbrvfd2Nz9+Ys37Zl2I5n2AMWPM2inLmdLYKHzxhfEJiPL331mhv369iW3Ru7exlkYBK/Rd4NNPzXr06GgEZ0iHFfpmna3QXxAf2htloe80Vlet6njq0WTywbw/bJj5dlesyN6ZKx/M+50V+mvWlKFqnl8URy44dFboR820D1bou0I+mPbBCn1H6Gcbg9+pKJ2KM4qUlUH//qabYt267M7NB/N+SYkR2i0t2UdlzAfzfmeF/qpV3YBom/bBCn1LluSL0HdC8WZb6UVxHvVUdHasfj5o+tBacWUz22BdnWkkdO0a7a4taLVUZHP/9fVGUBQVRaviT2b0aHMPixcbx9xMsULfrKP07q3Qd4F8Efq5avrD0s2TGBE6Y95vaYGFC83vqAt9R9v7MItIrI6AHD6cToWvDROd6ddfsMB0h4webWaYjCplZcb7vqWltbsyE/JN6C9fnt2QZSv0CxQr9M066pp+Z4T+8uVG2x00qHVe7qiy335mPT+L8OH5YNp36IzQd56V8+yiTGdM/KtWlQHRF/rdu7cOWc6me8sK/QJEtVXojxoVbF5yxZkLftWqzKeYbWlpLfhR1/QHDTIjMDZsgE2bMjsnX0z70Dmhnw+e+w65CP1993U/P37TOaGfH5o+dM7Eb4V+AbJqldH0+vUzLcUoU1JiBF/i2NOOWLPGDFnp398IzCgj0hpgJFNtPx+c+Bwcof/f/2YeoKjQNf0PPjDrQtT0W1oKW+gnKnxRKv9W6OeI89L33DPYfLjFPvuY9bx5mR2fL058Dtk68+WTpj9okGm8bt6ceRePo+lHebiegzXvm3WmQn/1ati+vYj+/aGy0rt8+UW2Qn/5chOfpU+faFk5rdDPkXzpz3cYP96s58zJ7Ph8ceJzyLZfP580fRHYf3/zO1MTfz5p+kOGmFEIa9ca611HrFtnjq2szI9G7157mfUnn2QWqyAfIvElkq3QnzvXrMeNi1Z8Fiv0cyTfhP64cWadrdDPh0oPshurr5pfmj5k36+fT0K/uLi1HGcybM8x7e+7b7Qq/XRUVBiLzfbtmTV6rdA3a6fOjApW6OdIvgn9RE0/k35dZ3hPPph3ITtNf+1a4/DXq1frLGVRJxuhv3kzVFcbX47+/b3Nl19kY+LPJ9O+g9N4dRqz7ZGvQj/TOA1W6Bco+Sb0hw0z/bobNmQWpGfWLLN2GgtRJ5s+/UTTfj5oetDWma8jEvvz8+X+ncZrNkI/Hzz3HbLp1883oe8EKFq4ELZubf9YVSv0C5Lt282sVCL5U/BFMu/Xr66Gjz4yM8tFreCnY9gwM1PgihWwbVv7x+abaR9MpV9cbBqzHd1/Ppn2HbLR9PPJc9+hkIV+ZSUccIAZrvzuu+0f+8UXxomvd+/oWTmt0M+BpUtNARk2LNrRuJLJVOgnavlRnVI2mS5dWs18HVX8+eTE51BWZkaitLR0XPHnw0Q7yWQq9JuaTIMXrKbvDHPNBw4/3Kxnzmz/uKg68YEV+jmRb6Z9h0yd+d5806y/8hVv8+M3mfbr56OmD5n367/9tlmPHettfvzE6d7pKBTx4sUm7v6wYdCzp/f58gunLC9c2P5si5s2mSnFy8qaGTTIl6z5QmeEftSwQj8H8lXoO5r+3LntO/Plq9DPtF/f0YYKUei3tMDrr5vfxx3nfZ78Yv/9oUcP46Danhd3Ppr2wTRgdtnFNGjac2hzvo3Bg7dFTtNtD6cue+ut9qOSWqFfoOSr0N9lF+ONXl2d3sy5fXtrv9dhh/mXNz/IRNPfuNF475eX50+MAodMnPnmzTPOnsOGtTaS8oGuXeGYY8zvqVPTH5ePnvsOmZj4nW9jyJB67zPkI0OGmO6K2trWhl0yUXbiAyv0cyJfhX4mznzvv28cvfbc03j75xOOEGtP03VM+3vtFf3Z5ZJJDNCTztLz2mtmffzx0evT7IgTTjDrTIR+PvXnO2Qi9N96y6yHD+/AzT2CdGTiX7EC1q83TnxRdGINpLoSkUtEZImI1IvIXBE5op1jB4vIYyKyUESaReRBH7PaLvkq9KHjfv18Ne0DHHGE0fhmzkw/45Yj9PPJic9hl11MhbZhgwm1mopEoZ9vnHiiWf/73+n7tfPVvA+tZTrdWH1VeOYZ8/srX9ngT6Z8pCOhH2UnPghA6IvIWcAdwM3AgcBbwMsiks5IWgpUAb8F3vElkxmwdatp8XXtmj/R6BJJ7NdPRT4L/d69TT91Sws8+2zqY/LViQ9MRdZev/62baZCFIFjj/U3b34wcqTp4tm0KXWjd8sW0+1VUpKfDX6nTKfT9OfMMUPWdtkF9tpri38Z84lEoZ/K0hVl0z4Eo+lfDjyoqver6gJVvRRYDVyc6mBVXaqql6nqg8BGH/PZLtOnm/Wee5pxzfmGU6DnzjXCLxHV/Bb6AGeeadZPPpl6f7468Tm0J/RnzDDzjh94YP517Ti0Z+J3PPvHjDFDPPONRPN+KqH39NNmfcYZ+de1BabLrm9fM4NqKmdGK/SzQERKgHFA8qc0FYiUO9hdd5n1d78bbD68YsgQs2zevLND25IlZkrdfv3yU9MB+PrXTYU+bZrpv0smn8370L7Qz2fTvoMj9F99ded9+WzaByPwBgww1szk2RZVW4X+//6v/3nzA5FWZSbZxB91Jz7wX9PvBxQDa5O2rwUiM9rzs8/gpZdMQJoLLgg6N96Rrl/f0fIPOyyafVqZ0KdPehP/unVmOFfXrvkTjSwZx5kvlQf/v/9t1vk0VC+Zo482Fry33zYN30Ty2YnPwWnMJnuwf/CBiVHQv7/xfclX0vXrr1xpvv+oOvEB5J1xSkQuBC4EGDhwILFYzNX0a2trueaaL1DdlQkT1vDhhwtdTT9M9O07HNiN5577gsGDW9X9J58cDQxh0KDPiMUynHg9gdraWtffixfsu+8gXnllL+67byOjR7eqvLfeau5//PgqZs7sIIqLR3j9DOvrixA5ggULlKlTZ1BSYuy81dVdmTfvK5SUNNPS8iaxWEsHKYWXjp7hmDEH8MEHvfjTnz7k8MOrdmyfMeMAoBeq/yUWq/Y8n0EwZMhuwHCuuWYT5eXzdjTu//a3EcAIDjpoFTNmfBKZbzlbyst7AF/i1Ve3EovN3rF95sy+wL7stls1b7yRwQQVGeLrc1RV3xagBGgCzkzafhfwRgbnv4jxB8joeuPGjVO3efnlN7RXL1VQnT3b9eRDxb/+Ze7zqKPabt9nH7N95szOpTtt2rRcs+YLGzaodumiWlysun692fbee6oiZvuCBcHlzY9nOHq0ec/vvNO67bHHzLbjj/f88p7T0TOcPNnc68UXt26rqlKtrDTbV6/2Nn9BsnGjav/+5j4ffrh1+9ixZtsrr5j/UfmWs6W+XrWszNxrVVXr9uuuM9t+9jN3r+f2cwTmaBq56Kt5X1UbgblAcm/g8Rgv/tDz+usD2bQJDj44f2aWS0cqZ75Nm0zM8ZKS6PZpZUqfPsY7vbnZmPhV4Uc/MutLLzUOP/mMY7795jdbo9MVQn++Q7Iz35YtcNJJUFNjvv18mU45Fb17wx/+YH5fcYX57hctMt9+r16m+yOfKS2Fgw4yv99KkExR78+HYMz7U4BHRORd4E3gImAIcC+AiDwMoKrnOCeIyAHxnz2Alvj/RlXNYFoId6iuNp7cTz65CwDnn+/XlYNj4EAYOtQMTTzjDFP5d+lihN748WZylnznzDONM9eTT5rwrDNmmP7M668POmfec8stpg/33XfhqKOMU2MhCf3x443w++wzI+x+8APj37LbbvD//l/++rM4nHMO/OUvpl/72mvNED2Ar33NNPrzncMPN6O0pk83kTfvvbfVsTPKQt9X876zAJcAS4EGjOZ/ZMK+GBBLOl5TLEs7uo4b5v2WFtVrrzWmHsfcA6qlpWZ7S0vOlwg1jjkrebnyys6nGSWTYFWVMe8XF6sOGWLu/b77gs6Vf89w0ybVQw4x9+2Ye/v3V21u9uXynpLJMzzzTHPPAwea9eDBqp995n3ewsL8+absi6gOHWqewXPPte6P0recLS+9ZO5XpLXeKy5WveAC9+v9vDXvO6jq3ao6QlVLVXWcqk5P2DdBVSckHS8plhF+5PX662HKFDMBRX1CmOmGBrM93zW+yZPNsJ3bbzctX0e7OfnkQLPlG337tpr4V60yY9O/972gc+UfPXsa7eaww1qHLh57bH6Oz06FY+Jfu9Z097z2Wn5NJdsR++7b2qW1YgVUVLQ+k3zn0EONNVPVWDwnT4bly431I8pWngL5dDtHdbUxcdbVtW4rKmqNVlFXZ/Zv2uR/3vxk6FDz4c+YYT78uXPzv08vESdQD8Af/5ifwZjao0cPeOWV1rHLp58eaHZ85cQTTZdWZaV5Bvk0jXCm3HijidkBcOqp0K1boNnxjV69TJfWyy+b2CTXXdf6HKKMFfrt8NRTO1fwY8dWtflfXJw+als+MmQIfOlLQefCX8480zj1XHFF6/jdQqOyEv7zH9O//41vBJ0b/9h1V9OnPXcufPnLQecmGCor4cEHTeyGn/406Nz4yyGHGOfNfIq8mEe34j5r1rTV8gFOPvlzPvig/47/dXXmOEv+0rMnvBOaWR+Co6SkMAXfwQcHnYPgOf54M52yJfpYTb8dBg0yXpuJDBiwrc3/8nJznMVisVgsYccK/XaYODH91JoOzc1t+3wtFovFYgkrVui3Q+/eph83Wdt3KC83+3v18jVbFovFYrF0Ctun3wGTJ5v1Lbe0OvVVVBgN//LLW/dbLBaLxRJ2rNDvABG46SYj4J96Crp3h9tuMyZ9q+FbLBaLJUpYoZ8hvXvDpEkQi8GECUHnxmKxWCyW7LF9+haLxWKxFAhW6FssFovFUiBYoW+xWCwWS4Fghb7FYrFYLAWCFfoWi8VisRQIVuhbLBaLxVIgWKFvsVgsFkuBYIW+xWKxWCwFgqhq0HnwDBFZDyxzOdl+QJXLaRYa9hnmjn2GuWOfYe7YZ+gObj/H4araP9WOvBb6XiAic1R1fND5iDL2GeaOfYa5Y59h7thn6A5+Pkdr3rdYLBaLpUCwQt9isVgslgLBCv3suS/oDOQB9hnmjn2GuWOfYe7YZ+gOvj1H26dvsVgsFkuBYDV9i8VisVgKBCv0LRaLxWIpEKzQzxARuURElohIvYjMFZEjgs5TlBCRG0VEk5Y1QecrzIjIkSLyvIisjD+v85L2S/y5rhKRbSISE5GxAWU3lGTwDB9MUS7fDii7oURErhaR2SKyRUTWi8gLIrJP0jG2LLZDhs/Ql7JohX4GiMhZwB3AzcCBwFvAyyIyLNCMRY9FwOCEZd9gsxN6ugMfAj8CtqXY/zPgp8ClwJeBdcBrIlLpWw7DT0fPEODftC2Xp/iTtcgwAbgbOAw4BmgC/i0ifRKOsWWxfSbQ8TMEH8qideTLABF5B5ivqpMStn0KPKWqVweXs+ggIjcCE1V1n46OteyMiNQCP1TVB+P/BVgF3Kmqv45v64apbK9Q1T8HldewkvwM49seBPqp6mlB5StqiEh3YDNwuqq+YMti9iQ/w/i2B/GhLFpNvwNEpAQYB0xN2jUV02qzZM7IuPlviYg8LiIjg85QhNkNGERCuVTVbcB0bLnMlsNFZJ2IfCIi94vIgKAzFHIqMbKjOv7flsXsSX6GDp6XRSv0O6YfUAysTdq+FlPQLZnxDnAecBIwCfPs3hKRvkFmKsI4Zc+Wy9x4BTgHOBZjnj4I+I+IlAaaq3BzBzAPmBX/b8ti9iQ/Q/CpLHZxMzGLJR2q+nLi/7iDyufAucCUQDJlKXhU9fGEvx+IyFzMJF2nAs8Ek6vwIiJTgMOBw1W1Oej8RJF0z9Cvsmg1/Y6pApqBgUnbBwLW+7yTqGot8BEwKui8RBSn7Nly6SKqugpYgS2XOyEitwHfAo5R1c8TdtmymCHtPMOd8KosWqHfAaraCMwFjk/adTzGi9/SCUSkDNgLWB10XiLKEkyFuqNcxp/pEdhy2WlEpB+wC7ZctkFE7qBVWC1M2m3LYgZ08AxTHe9JWbTm/cyYAjwiIu8CbwIXAUOAewPNVYQQkVuAF4DlwADgOqACeCjIfIWZuIfvHvG/RcAwETkA2Kiqy0XkduAaEVkIfAJcC9QCjwWQ3VDS3jOMLzcCT2Mq1hHAbzBe58/6nNXQIiJ3AWcDpwPVIuL009eqaq2qqi2L7dPRM4yX0xvxoyyqql0yWIBLgKVAA0bzPzLoPEVpAR7HDOtpBFbGC/eYoPMV5gUztldTLA/G90u8olgN1ANvAPsEne8wLe09Q6Ab8Gq8Ym3E9J8+COwadL7DtKR5fgrcmHCMLYs5PEM/y6Idp2+xWCwWS4Fg+/QtFovFYikQrNC3WCwWi6VAsELfYrFYLJYCwQp9i8VisVgKBCv0LRaLxWIpEKzQt1gsFoulQLBC32JJgYicJyIqIptEpHfSvi7xfTcGkK8b49cOdWAtESkSkdtFZLWItIjIcz5e+0YROcav6yVd+3IRmR+fbjab80RE3heRn3mVN4sFrNC3WDqiJ/DzoDMRQSYCPwL+AHwF8FOY3QD4LvRFpBfwC2CyZhkAJX78ZOBqEenjQfYsFsAKfYulI6YCl4pI8mQieYtLU3nuHV/frqqzVPUTF9IMOxdgoql1Nmzq85hodv/nWo4sliSs0LdY2udX8fW17R3kmN1TbH9QRJYm/B8RN89fJCK/EZE1IlIjIo+KSLmI7CEir4pIrYgsFpFz01xybxGZJiJ1cRP6ZBFp8z2LSH8RuVdEVopIg4gsFJELk45xujGOFJEnRWQT8E4H93qSiMwSkW0isllEnhORPRP2L8WEZAVojqd/Xjvp9ReRf4jIFhGpFpG/icjX4udNSDjuBBF5KX6/dSLyoYj8VESKE45x3sEv4ue36YYRkaNE5PX4M98af9b7JOXnRBF5K35vtSKySESub++ZxPk/4J+aMF1qwvv+fvwdrY53Gb0gIkMTT46f9yRW6Fs8xAp9i6V9VgN3AheKyHAX070aM2nTucD1wFmYCZyeBf4FnAHMB/4mImNTnP8c8G/MBB6PYSYw2iGYRKQHMBM4BSOAT8VMeHSPiFyaIr2/Y2ZLmwhclS7TInJSPH+18TxfDOwDzBSRXeKHnYGJGw5waHz5V7o0MXOFn4x5Jt8EtgN/SnHcSOB14Hvx+3kofm+/Tjjm0Pj6wYRr/yWe91Pj59cC3wW+DVQCM0Rk1/gxIzEa95L4/X0NM+FWRTv5J1429gJmpDnkaszEP9/DdHscCjya4rjpwKh4PiwW9wl6IgK72CWMC3AeZkKMPYA+wCbggfi+Luw84ciNxLtmk9J5EFia8H9E/Nz/JB33THz7dxO29QaagBuSrwNclXT+/UAN0Cv+/zqMqXhUiuOqgC5J93lbhs9lDvCpc358224YQT0lYduvUj2PFOmdEL/+N5K2Px/fPiHNeRJ/D78AqoGihH0K/CrFOYuB15O29Yg/j9vj/yfGz++RZXk5K35e8vN23ncsafsV8e1DkrbvHt/+7aC/Abvk52I1fYulA1R1I3ArcE6iGTtHXk7678yv/WrCdasxs27tmuL8fyb9fxzojtG6AU7CmOmXxEcbdIl7/L8K9AXGJJ3fYT+0iFQAXwKeUNWmhHwuwUw5fVRHaaTgEKA5xfWfSnH9wSLyZxFZhuk7345pXPTCTNfcXt5HYQTq35OeRx0wCzgyfui8eLqPi8hEEWk33QSGxNfr0+x/Ken/B/H1sKTtzvlDsFg8wAp9iyUzbsPMvz7ZpfSqk/43trO9LMX5a9P8d0zsAzCCbHvS8mR8f9+k81d3nGV6YzTsVMeuwVhEsmUwUK2q25O2t7m/uL/C88BpGEF/DPBlWk37qZ5RIo7w/is7P5PTiD8PVV0MnIipGx8B1ojI2yLSUYPGuX5Dmv0bk/47xyXne1t83a2D61ksnSLUY30tlrCgqrUi8huMxv+HFIfUA4hIiao2JmxPFq5uMRD4POk/wMr4egPGSvCjNOcvSvqfyRCz6vhxg1LsG8TOgi0TVgO9RaRrkuBPHi2xOzAeOFtVd/SFi8hXM7zOhvj6aowvRDI73pmqTgOmxUcxfAXT0PuXiIxQ1aoO0u9Nq+DuDE7DKd11LJacsJq+xZI5d2OE6q9S7FsWX+/wBI+P2z7Mo7x8I+n/NzEOao7Z+BWMY9lyVZ2TYqnJ9oKquhWYC5yZ5DE/HHOfsU7cx9tAMcb5L5Ezk/6Xx9c7GgYi0hX4Too0G9lZU14ELAXGpnke85MTUdUGVf0P8HuMI99u7dyH0z2TqwOec43kRpnF4gpW07dYMkRVG0RkMnBfit0vA5uB+0XkBqAUE5Cm1qPsTIqbvGdjzNH/h3Es3BzffxvGuWyGiNyGESIVmIbAEar69U5e9zqMJ/6LInI3xo/gl5h7vzXbxFR1qoi8CdwnIv0wznYTgf3jh7TE1wswDatfi0gzRvj/JE2yHwOnisgrGOvEKlVdJSI/AP6fiJRgfCKqMBaFwzCNoykichGmW+Ql4AugH8Y6sAr4sJ1beRdjsj8IM2qisxwcv7e3c0jDYkmL1fQtluz4G8Z7vQ2qugnTN9yCESi/wQw7m+ZRPr4OHI/p5/4uxvpwU0J+NmOE2UuYiIKvAg/Ez+t0nlT1FcxwuV6Y+7wXI5APV9VVnUz2DIxl4nfxNMswjQswjQniXSanY3wHHgbuwgxv+22K9H4IbMUMUZwNXBhP4yWMQK/ADON7FaPFD8I48wH8N77/N5jATHdihu8do6ppzfaqWg/8PyDT7oZ0nAY8r6p1OaZjsaREVLOKFmmxWCyeIyJ3AucDfVQ1nXNcqIgHEvoPMEJVl3fi/CEY68IJqvq6u7mzWAxW6FsslkCJR+vrCXwElGCGG/4A+IOqpg0UFEZE5DVgkar+sBPn3gbsr6qBTBZkKQxsn77FYgmarcCPMR76pRhz+jWkHiURdi4FThcR0Sw0KhERTNdFKn8Ri8U1rKZvsVgsFkuBYB35LBaLxWIpEKzQt1gsFoulQLBC32KxWCyWAsEKfYvFYrFYCgQr9C0Wi8ViKRCs0LdYLBaLpUD4/w6zKwZ6lP0qAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
- "execution_count": 14,
+ "execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
@@ -1811,8 +1786,8 @@
},
{
"cell_type": "code",
- "execution_count": 15,
- "id": "5d5a1131",
+ "execution_count": 53,
+ "id": "3d6416eb",
"metadata": {},
"outputs": [
{
@@ -1821,8 +1796,8 @@
"text": [
"DbAnalysisResultV1\n",
"- name: @Parameters_FineAmplitudeAnalysis\n",
- "- value: [0.80534284 0.03632038 0.49111484] ± [0.01305091 0.0011369 0.00350642]\n",
- "- χ²: 1.4919645773726637\n",
+ "- value: [0.79618143 0.02732817 0.47355097] ± [0.01300009 0.00098153 0.00362947]\n",
+ "- χ²: 1.144205682189689\n",
"- quality: good\n",
"- extra: <4 items>\n",
"- device_components: ['Q0']\n",
@@ -1834,6 +1809,30 @@
"print(data_fine_sx.analysis_results(0))"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "id": "5d5a1131",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "DbAnalysisResultV1\n",
+ "- name: d_theta\n",
+ "- value: 0.027328167719946905 ± 0.0009815320929519311\n",
+ "- χ²: 1.144205682189689\n",
+ "- quality: good\n",
+ "- device_components: ['Q0']\n",
+ "- verified: False\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(data_fine_sx.analysis_results(\"d_theta\"))"
+ ]
+ },
{
"cell_type": "markdown",
"id": "72571816",
@@ -1844,7 +1843,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 55,
"id": "ae984c47",
"metadata": {},
"outputs": [
@@ -1884,22 +1883,22 @@
" 0 | \n",
" amp | \n",
" () | \n",
- " sx | \n",
- " 0.250000+0.000000j | \n",
+ " x | \n",
+ " 0.500000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 12:05:42.885706+0100 | \n",
+ " 2021-11-03 16:42:30.370765+0100 | \n",
" None | \n",
" \n",
" \n",
" | 1 | \n",
" amp | \n",
" () | \n",
- " sx | \n",
- " 0.250000+0.000000j | \n",
+ " x | \n",
+ " 0.500000+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 10:23:20.785453+0100 | \n",
+ " 2021-11-03 16:40:00.882460+0100 | \n",
" | \n",
"
\n",
" \n",
@@ -1907,55 +1906,77 @@
" | amp | \n",
" (0,) | \n",
" sx | \n",
- " 0.430256+0.000000j | \n",
+ " 0.428397+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 10:25:52.837000+0100 | \n",
- " d4d482d0-34c7-476a-870e-6984aa387f94 | \n",
+ " 2021-11-03 16:42:27.534000+0100 | \n",
+ " bc1dac04-bbfc-4282-97ae-90272616e093 | \n",
"
\n",
" \n",
" | 3 | \n",
" amp | \n",
" (0,) | \n",
" sx | \n",
- " 0.420532+0.000000j | \n",
+ " 0.421071+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 12:06:25.685000+0100 | \n",
- " dd676b11-1014-470a-b6b9-67bc0da045ef | \n",
+ " 2021-11-03 16:45:38.341000+0100 | \n",
+ " aee3d73b-423a-45c9-918a-8fff8c537b19 | \n",
"
\n",
" \n",
" | 4 | \n",
" amp | \n",
- " () | \n",
+ " (0,) | \n",
" x | \n",
- " 0.500000+0.000000j | \n",
+ " 0.856794+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 12:05:42.885622+0100 | \n",
- " None | \n",
+ " 2021-11-03 16:42:27.534000+0100 | \n",
+ " bc1dac04-bbfc-4282-97ae-90272616e093 | \n",
"
\n",
" \n",
" | 5 | \n",
" amp | \n",
- " () | \n",
+ " (0,) | \n",
" x | \n",
- " 0.500000+0.000000j | \n",
+ " 0.879209+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 10:23:20.785369+0100 | \n",
- " | \n",
+ " 2021-11-03 16:44:31.671000+0100 | \n",
+ " b4966de8-a1ce-4822-b70d-775adffd4f45 | \n",
"
\n",
" \n",
" | 6 | \n",
" amp | \n",
" (0,) | \n",
" x | \n",
- " 0.860512+0.000000j | \n",
+ " 0.894954+0.000000j | \n",
" default | \n",
" True | \n",
- " 2021-11-03 10:25:52.837000+0100 | \n",
- " d4d482d0-34c7-476a-870e-6984aa387f94 | \n",
+ " 2021-11-03 16:45:02.477000+0100 | \n",
+ " cb306dbb-ca97-42ce-9b7e-b5bcf4fe65dd | \n",
+ "
\n",
+ " \n",
+ " | 7 | \n",
+ " amp | \n",
+ " () | \n",
+ " sx | \n",
+ " 0.250000+0.000000j | \n",
+ " default | \n",
+ " True | \n",
+ " 2021-11-03 16:42:30.370841+0100 | \n",
+ " None | \n",
+ "
\n",
+ " \n",
+ " | 8 | \n",
+ " amp | \n",
+ " () | \n",
+ " sx | \n",
+ " 0.250000+0.000000j | \n",
+ " default | \n",
+ " True | \n",
+ " 2021-11-03 16:40:00.882499+0100 | \n",
+ " | \n",
"
\n",
" \n",
"\n",
@@ -1963,25 +1984,29 @@
],
"text/plain": [
" parameter qubits schedule value group valid \\\n",
- "0 amp () sx 0.250000+0.000000j default True \n",
- "1 amp () sx 0.250000+0.000000j default True \n",
- "2 amp (0,) sx 0.430256+0.000000j default True \n",
- "3 amp (0,) sx 0.420532+0.000000j default True \n",
- "4 amp () x 0.500000+0.000000j default True \n",
- "5 amp () x 0.500000+0.000000j default True \n",
- "6 amp (0,) x 0.860512+0.000000j default True \n",
+ "0 amp () x 0.500000+0.000000j default True \n",
+ "1 amp () x 0.500000+0.000000j default True \n",
+ "2 amp (0,) sx 0.428397+0.000000j default True \n",
+ "3 amp (0,) sx 0.421071+0.000000j default True \n",
+ "4 amp (0,) x 0.856794+0.000000j default True \n",
+ "5 amp (0,) x 0.879209+0.000000j default True \n",
+ "6 amp (0,) x 0.894954+0.000000j default True \n",
+ "7 amp () sx 0.250000+0.000000j default True \n",
+ "8 amp () sx 0.250000+0.000000j default True \n",
"\n",
" date_time exp_id \n",
- "0 2021-11-03 12:05:42.885706+0100 None \n",
- "1 2021-11-03 10:23:20.785453+0100 \n",
- "2 2021-11-03 10:25:52.837000+0100 d4d482d0-34c7-476a-870e-6984aa387f94 \n",
- "3 2021-11-03 12:06:25.685000+0100 dd676b11-1014-470a-b6b9-67bc0da045ef \n",
- "4 2021-11-03 12:05:42.885622+0100 None \n",
- "5 2021-11-03 10:23:20.785369+0100 \n",
- "6 2021-11-03 10:25:52.837000+0100 d4d482d0-34c7-476a-870e-6984aa387f94 "
+ "0 2021-11-03 16:42:30.370765+0100 None \n",
+ "1 2021-11-03 16:40:00.882460+0100 \n",
+ "2 2021-11-03 16:42:27.534000+0100 bc1dac04-bbfc-4282-97ae-90272616e093 \n",
+ "3 2021-11-03 16:45:38.341000+0100 aee3d73b-423a-45c9-918a-8fff8c537b19 \n",
+ "4 2021-11-03 16:42:27.534000+0100 bc1dac04-bbfc-4282-97ae-90272616e093 \n",
+ "5 2021-11-03 16:44:31.671000+0100 b4966de8-a1ce-4822-b70d-775adffd4f45 \n",
+ "6 2021-11-03 16:45:02.477000+0100 cb306dbb-ca97-42ce-9b7e-b5bcf4fe65dd \n",
+ "7 2021-11-03 16:42:30.370841+0100 None \n",
+ "8 2021-11-03 16:40:00.882499+0100 "
]
},
- "execution_count": 16,
+ "execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
@@ -1992,17 +2017,17 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 56,
"id": "f7cb5878",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "ScheduleBlock(Play(Drag(duration=320, amp=(0.420532092119502+0j), sigma=80, beta=0), DriveChannel(0)), name=\"sx\", transform=AlignLeft())"
+ "ScheduleBlock(Play(Drag(duration=320, amp=(0.421071121202659+0j), sigma=80, beta=0), DriveChannel(0)), name=\"sx\", transform=AlignLeft())"
]
},
- "execution_count": 17,
+ "execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
@@ -2013,17 +2038,17 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 57,
"id": "f45f6482",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "ScheduleBlock(Play(Drag(duration=320, amp=(0.86051151+0j), sigma=80, beta=0), DriveChannel(0)), name=\"x\", transform=AlignLeft())"
+ "ScheduleBlock(Play(Drag(duration=320, amp=(0.894953534996499+0j), sigma=80, beta=-1.10550311381993), DriveChannel(0)), name=\"x\", transform=AlignLeft())"
]
},
- "execution_count": 18,
+ "execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
@@ -2034,17 +2059,17 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 58,
"id": "68f6e469",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "ScheduleBlock(Play(Drag(duration=320, amp=0.86051151j, sigma=80, beta=0), DriveChannel(0)), name=\"y\", transform=AlignLeft())"
+ "ScheduleBlock(Play(Drag(duration=320, amp=0.894953534996499j, sigma=80, beta=-1.10550311381993), DriveChannel(0)), name=\"y\", transform=AlignLeft())"
]
},
- "execution_count": 19,
+ "execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
@@ -2055,7 +2080,7 @@
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 59,
"id": "8c8369d4",
"metadata": {},
"outputs": [
diff --git a/qiskit_experiments/calibration_management/__init__.py b/qiskit_experiments/calibration_management/__init__.py
index 0a5f6ed86e..e2ed834877 100644
--- a/qiskit_experiments/calibration_management/__init__.py
+++ b/qiskit_experiments/calibration_management/__init__.py
@@ -39,7 +39,6 @@
BackendCalibrations
Calibrations
Frequency
- Drag
Managing Calibration Data
=========================
@@ -149,4 +148,4 @@
from .backend_calibrations import BackendCalibrations
from .base_calibration_experiment import BaseCalibrationExperiment
-from .update_library import Frequency, Drag, FineDragUpdater
+from .update_library import Frequency, FineDragUpdater
diff --git a/qiskit_experiments/calibration_management/base_calibration_experiment.py b/qiskit_experiments/calibration_management/base_calibration_experiment.py
index 899f83da58..50eac604e6 100644
--- a/qiskit_experiments/calibration_management/base_calibration_experiment.py
+++ b/qiskit_experiments/calibration_management/base_calibration_experiment.py
@@ -139,6 +139,23 @@ def calibrations(self) -> Calibrations:
"""Return the calibrations."""
return self._cals
+ @classmethod
+ def _default_experiment_options(cls):
+ """Default values for the fine amplitude calibration experiment.
+
+ Experiment Options:
+ result_index (int): The index of the result from which to update the calibrations.
+ group (str): The calibration group to which the parameter belongs. This will default
+ to the value "default".
+
+ """
+ options = super()._default_experiment_options()
+
+ options.result_index = -1
+ options.group = "default"
+
+ return options
+
def update_calibrations(self, experiment_data: ExperimentData):
"""Update parameter values in the :class:`Calibrations` instance.
diff --git a/qiskit_experiments/calibration_management/update_library.py b/qiskit_experiments/calibration_management/update_library.py
index c699d1e25b..7fbd09452a 100644
--- a/qiskit_experiments/calibration_management/update_library.py
+++ b/qiskit_experiments/calibration_management/update_library.py
@@ -184,12 +184,6 @@ def update(
)
-class Drag(BaseUpdater):
- """Update drag parameters."""
-
- __fit_parameter__ = "beta"
-
-
class FineDragUpdater(BaseUpdater):
"""Updater for the fine drag calibration."""
diff --git a/qiskit_experiments/library/__init__.py b/qiskit_experiments/library/__init__.py
index e721e8c4ed..6ef76a591b 100644
--- a/qiskit_experiments/library/__init__.py
+++ b/qiskit_experiments/library/__init__.py
@@ -62,6 +62,7 @@
~characterization.EFSpectroscopy
~characterization.CrossResonanceHamiltonian
~characterization.EchoedCrossResonanceHamiltonian
+ ~characterization.RoughDrag
~characterization.HalfAngle
~characterization.FineAmplitude
~characterization.FineXAmplitude
@@ -85,7 +86,7 @@ class instance to manage parameters and pulse schedules.
:template: autosummary/experiment.rst
~calibration.RoughFrequencyCal
- ~calibration.DragCal
+ ~calibration.RoughDragCal
~calibration.FineDrag
~calibration.FineXDrag
~calibration.FineSXDrag
@@ -99,7 +100,7 @@ class instance to manage parameters and pulse schedules.
"""
from .calibration import (
- DragCal,
+ RoughDragCal,
FineDrag,
FineXDrag,
FineSXDrag,
@@ -119,6 +120,7 @@ class instance to manage parameters and pulse schedules.
EFSpectroscopy,
CrossResonanceHamiltonian,
EchoedCrossResonanceHamiltonian,
+ RoughDrag,
Rabi,
EFRabi,
HalfAngle,
diff --git a/qiskit_experiments/library/calibration/__init__.py b/qiskit_experiments/library/calibration/__init__.py
index fdc52b110a..a54b7a4c94 100644
--- a/qiskit_experiments/library/calibration/__init__.py
+++ b/qiskit_experiments/library/calibration/__init__.py
@@ -40,7 +40,7 @@
:template: autosummary/experiment.rst
RoughFrequencyCal
- DragCal
+ RoughDragCal
FineDrag
FineXDrag
FineSXDrag
@@ -70,7 +70,7 @@
"""
from .rough_frequency import RoughFrequencyCal
-from .drag import DragCal
+from .rough_drag_cal import RoughDragCal
from .fine_drag import FineDrag, FineXDrag, FineSXDrag
from .rough_amplitude_cal import RoughAmplitudeCal, RoughXSXAmplitudeCal, EFRoughXSXAmplitudeCal
from .fine_amplitude import FineAmplitudeCal, FineXAmplitudeCal, FineSXAmplitudeCal
diff --git a/qiskit_experiments/library/calibration/fine_amplitude.py b/qiskit_experiments/library/calibration/fine_amplitude.py
index 98a97c1b4d..118bfb22cd 100644
--- a/qiskit_experiments/library/calibration/fine_amplitude.py
+++ b/qiskit_experiments/library/calibration/fine_amplitude.py
@@ -83,11 +83,7 @@ def _default_experiment_options(cls):
"""
options = super()._default_experiment_options()
-
- options.result_index = -1
options.target_angle = np.pi
- options.group = "default"
-
return options
def _add_cal_metadata(self, circuits: List[QuantumCircuit]):
diff --git a/qiskit_experiments/library/calibration/half_angle_cal.py b/qiskit_experiments/library/calibration/half_angle_cal.py
index 56970a2a43..58bbabf1a6 100644
--- a/qiskit_experiments/library/calibration/half_angle_cal.py
+++ b/qiskit_experiments/library/calibration/half_angle_cal.py
@@ -63,23 +63,6 @@ def __init__(
self.set_transpile_options(inst_map=calibrations.default_inst_map)
- @classmethod
- def _default_experiment_options(cls):
- """Default values for the half angle calibration experiment.
-
- Experiment Options:
- result_index (int): The index of the result from which to update the calibrations.
- group (str): The calibration group to which the parameter belongs. This will default
- to the value "default".
-
- """
- options = super()._default_experiment_options()
-
- options.result_index = -1
- options.group = "default"
-
- return options
-
def _add_cal_metadata(self, circuits: List[QuantumCircuit]):
"""Add metadata to the circuit to make the experiment data more self contained.
diff --git a/qiskit_experiments/library/calibration/rough_amplitude_cal.py b/qiskit_experiments/library/calibration/rough_amplitude_cal.py
index 9538425431..4f5344abaa 100644
--- a/qiskit_experiments/library/calibration/rough_amplitude_cal.py
+++ b/qiskit_experiments/library/calibration/rough_amplitude_cal.py
@@ -115,11 +115,9 @@ def _default_experiment_options(cls):
"""
options = super()._default_experiment_options()
- options.result_index = -1
options.angles_schedules = [
AnglesSchedules(target_angle=np.pi, parameter="amp", schedule="x", previous_value=None)
]
- options.group = "default"
return options
diff --git a/qiskit_experiments/library/calibration/rough_drag_cal.py b/qiskit_experiments/library/calibration/rough_drag_cal.py
new file mode 100644
index 0000000000..4710400563
--- /dev/null
+++ b/qiskit_experiments/library/calibration/rough_drag_cal.py
@@ -0,0 +1,116 @@
+# This code is part of Qiskit.
+#
+# (C) Copyright IBM 2021.
+#
+# This code is licensed under the Apache License, Version 2.0. You may
+# obtain a copy of this license in the LICENSE.txt file in the root directory
+# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
+#
+# Any modifications or derivative works of this code must retain this
+# copyright notice, and modified files need to carry a notice indicating
+# that they have been altered from the originals.
+
+"""Rough drag calibration experiment."""
+
+from typing import Iterable, List, Optional
+
+from qiskit import QuantumCircuit
+from qiskit.circuit import Parameter
+from qiskit.providers.backend import Backend
+
+from qiskit_experiments.framework import ExperimentData, fix_class_docs
+from qiskit_experiments.calibration_management import (
+ BaseCalibrationExperiment,
+ BackendCalibrations,
+)
+from qiskit_experiments.calibration_management.update_library import BaseUpdater
+from qiskit_experiments.library.characterization.drag import RoughDrag
+
+
+@fix_class_docs
+class RoughDragCal(BaseCalibrationExperiment, RoughDrag):
+ """A calibration version of the Drag experiment.
+
+ # section: see_also
+ qiskit_experiments.library.characterization.rough_drag.RoughDrag
+ """
+
+ def __init__(
+ self,
+ qubit: int,
+ calibrations: BackendCalibrations,
+ backend: Optional[Backend] = None,
+ schedule_name: str = "x",
+ betas: Iterable[float] = None,
+ cal_parameter_name: Optional[str] = "β",
+ auto_update: bool = True,
+ group: str = "default",
+ ):
+ r"""see class :class:`RoughDrag` for details.
+
+ Args:
+ qubit: The qubit for which to run the rough drag calibration.
+ calibrations: The calibrations instance with the schedules.
+ backend: Optional, the backend to run the experiment on.
+ schedule_name: The name of the schedule to calibrate. Defaults to "x".
+ betas: A list of drag parameter values to scan. If None is given 51 betas ranging
+ from -5 to 5 will be scanned.
+ cal_parameter_name: The name of the parameter in the schedule to update.
+ Defaults to "β".
+ auto_update: Whether or not to automatically update the calibrations. By
+ default this variable is set to True.
+ group: The group of calibration parameters to use. The default value is "default".
+ """
+ schedule = calibrations.get_schedule(
+ schedule_name, qubit, assign_params={cal_parameter_name: Parameter("β")}, group=group
+ )
+
+ super().__init__(
+ calibrations,
+ qubit,
+ schedule=schedule,
+ betas=betas,
+ backend=backend,
+ schedule_name=schedule_name,
+ cal_parameter_name=cal_parameter_name,
+ auto_update=auto_update,
+ )
+
+ def _add_cal_metadata(self, circuits: List[QuantumCircuit]):
+ """Add metadata to the circuit to make the experiment data more self contained.
+
+ The following keys are added to each circuit's metadata:
+ cal_param_value: The value of the previous calibrated beta.
+ cal_param_name: The name of the parameter in the calibrations.
+ cal_schedule: The name of the schedule in the calibrations.
+ cal_group: The calibration group to which the parameter belongs.
+ """
+
+ prev_beta = self._cals.get_parameter_value(
+ self._param_name, self.physical_qubits, self._sched_name, self.experiment_options.group
+ )
+
+ for circuit in circuits:
+ circuit.metadata["cal_param_value"] = prev_beta
+ circuit.metadata["cal_param_name"] = self._param_name
+ circuit.metadata["cal_schedule"] = self._sched_name
+ circuit.metadata["cal_group"] = self.experiment_options.group
+
+ def update_calibrations(self, experiment_data: ExperimentData):
+ """Update the beta using the value directly reported from the fit.
+
+ See :class:`DragCalAnalysis` for details on the fit.
+ """
+
+ new_beta = BaseUpdater.get_value(
+ experiment_data, "beta", self.experiment_options.result_index
+ )
+
+ BaseUpdater.add_parameter_value(
+ self._cals,
+ experiment_data,
+ new_beta,
+ self._param_name,
+ self._sched_name,
+ self.experiment_options.group,
+ )
diff --git a/qiskit_experiments/library/characterization/__init__.py b/qiskit_experiments/library/characterization/__init__.py
index 08f9460e48..a3026c4515 100644
--- a/qiskit_experiments/library/characterization/__init__.py
+++ b/qiskit_experiments/library/characterization/__init__.py
@@ -34,6 +34,7 @@
FineAmplitude
FineXAmplitude
FineSXAmplitude
+ RoughDrag
Analysis
@@ -60,3 +61,4 @@
from .rabi import Rabi, EFRabi
from .half_angle import HalfAngle
from .fine_amplitude import FineAmplitude, FineXAmplitude, FineSXAmplitude
+from .drag import RoughDrag
diff --git a/qiskit_experiments/library/calibration/drag.py b/qiskit_experiments/library/characterization/drag.py
similarity index 74%
rename from qiskit_experiments/library/calibration/drag.py
rename to qiskit_experiments/library/characterization/drag.py
index 0be06c0d7e..fded2ed3ba 100644
--- a/qiskit_experiments/library/calibration/drag.py
+++ b/qiskit_experiments/library/characterization/drag.py
@@ -10,15 +10,16 @@
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.
-"""Rough drag pulse calibration experiment."""
+"""Rough drag experiment."""
-from typing import List, Optional
+from typing import Iterable, List, Optional
import numpy as np
from qiskit import QuantumCircuit
-from qiskit.circuit import Gate, Parameter
+from qiskit.circuit import Gate
+from qiskit.exceptions import QiskitError
from qiskit.providers.backend import Backend
-import qiskit.pulse as pulse
+from qiskit.pulse import ScheduleBlock
from qiskit_experiments.framework import BaseExperiment, Options, fix_class_docs
from qiskit_experiments.exceptions import CalibrationError
@@ -26,7 +27,7 @@
@fix_class_docs
-class DragCal(BaseExperiment):
+class RoughDrag(BaseExperiment):
r"""An experiment that scans the DRAG parameter to find the optimal value.
# section: overview
@@ -75,30 +76,17 @@ class DragCal(BaseExperiment):
@classmethod
def _default_experiment_options(cls) -> Options:
- r"""Default values for the pulse if no schedule is given.
- Users can set the positive and negative rotation schedules with
-
- .. code-block::
-
- drag.set_experiment_options(schedule=xp_schedule)
+ r"""Default values for the rough drag experiment.
Experiment Options:
schedule (ScheduleBlock): The schedule of the rotation.
- amp (complex): The amplitude for the default Drag pulse. Must have a magnitude
- smaller than one.
- duration (int): The duration of the default pulse in samples.
- sigma (float): The standard deviation of the default pulse.
reps (List[int]): The number of times the Rp - Rm gate sequence is repeated in
each series. Note that this list must always have a length of three as
otherwise the analysis class will not run.
betas (Iterable): the values of the DRAG parameter to scan.
"""
options = super()._default_experiment_options()
-
options.schedule = None
- options.amp = 0.2
- options.duration = 160
- options.sigma = 40
options.reps = [1, 3, 5]
options.betas = np.linspace(-5, 5, 51)
@@ -133,15 +121,44 @@ def set_experiment_options(self, reps: Optional[List] = None, **fields):
super().set_experiment_options(reps=reps, **fields)
- def __init__(self, qubit: int, backend: Optional[Backend] = None):
- """
+ def __init__(
+ self,
+ qubit: int,
+ schedule: ScheduleBlock,
+ betas: Optional[Iterable[float]] = None,
+ backend: Optional[Backend] = None,
+ ):
+ """Initialize a Drag experiment in the given qubit.
+
Args:
qubit: The qubit for which to run the Drag calibration.
+ schedule: The schedule to run. This schedule should have one free parameter
+ corresponding to a DRAG parameter.
+ betas: The values of the DRAG parameter to scan. If None is given the default range
+ :code:`linspace(-5, 5, 51)` is used.
backend: Optional, the backend to run the experiment on.
+
+ Raises:
+ QiskitError: if the schedule does not have a free parameter.
"""
super().__init__([qubit], backend=backend)
+ if betas is not None:
+ self.set_experiment_options(betas=betas)
+
+ if len(schedule.parameters) != 1:
+ raise QiskitError(
+ f"Schedule {schedule} for {self.__class__.__name__} experiment must have "
+ f"exactly one free parameter, found {schedule.parameters} parameters."
+ )
+
+ self.set_experiment_options(schedule=schedule)
+
+ def _pre_circuit(self) -> QuantumCircuit:
+ """A circuit with operations to perform before the Drag."""
+ return QuantumCircuit(1)
+
def circuits(self) -> List[QuantumCircuit]:
"""Create the circuits for the Drag calibration.
@@ -149,47 +166,28 @@ def circuits(self) -> List[QuantumCircuit]:
circuits: The circuits that will run the Drag calibration.
Raises:
- CalibrationError:
- - If the beta parameters in the xp and xm pulses are not the same.
- - If either the xp or xm pulse do not have at least one Drag pulse.
- - If the number of different repetition series is not three.
+ QiskitError: if the number of different repetition series is not three.
"""
schedule = self.experiment_options.schedule
- if schedule is None:
- beta = Parameter("β")
- with pulse.build(backend=self.backend, name="drag") as schedule:
- pulse.play(
- pulse.Drag(
- duration=self.experiment_options.duration,
- amp=self.experiment_options.amp,
- sigma=self.experiment_options.sigma,
- beta=beta,
- ),
- pulse.DriveChannel(self.physical_qubits[0]),
- )
-
- if len(schedule.parameters) != 1:
- raise CalibrationError(
- "The schedule for Drag calibration must have one free parameter."
- f"Found {len(schedule.parameters)}."
- )
-
beta = next(iter(schedule.parameters))
- drag_gate = Gate(name=schedule.name, num_qubits=1, params=[beta])
+ # Note: if the pulse has a reserved name, e.g. x, which does not have parameters
+ # then we cannot directly call the gate x and attach a schedule to it. Doing so
+ # would results in QObj errors.
+ drag_gate = Gate(name="Drag(" + schedule.name + ")", num_qubits=1, params=[beta])
reps = self.experiment_options.reps
if len(reps) != 3:
- raise CalibrationError(
- f"{self.__class__.__name__} must use exactly three repetition numbers. "
+ raise QiskitError(
+ f"{self.__class__.__name__} uses exactly three repetitions. "
f"Received {reps} with length {len(reps)} != 3."
)
circuits = []
for idx, rep in enumerate(reps):
- circuit = QuantumCircuit(1)
+ circuit = self._pre_circuit()
for _ in range(rep):
circuit.append(drag_gate, (0,))
circuit.rz(np.pi, 0)
@@ -198,7 +196,9 @@ def circuits(self) -> List[QuantumCircuit]:
circuit.measure_active()
- circuit.add_calibration(schedule.name, self.physical_qubits, schedule, params=[beta])
+ circuit.add_calibration(
+ "Drag(" + schedule.name + ")", self.physical_qubits, schedule, params=[beta]
+ )
for beta_val in self.experiment_options.betas:
beta_val = np.round(beta_val, decimals=6)
diff --git a/test/calibration/experiments/test_drag.py b/test/calibration/experiments/test_drag.py
index 80a140eac1..6b0bafad2e 100644
--- a/test/calibration/experiments/test_drag.py
+++ b/test/calibration/experiments/test_drag.py
@@ -16,14 +16,17 @@
from qiskit.test import QiskitTestCase
from qiskit.circuit import Parameter
+from qiskit.exceptions import QiskitError
from qiskit.pulse import DriveChannel, Drag
import qiskit.pulse as pulse
from qiskit.qobj.utils import MeasLevel
from qiskit import transpile
from qiskit_experiments.exceptions import CalibrationError
-from qiskit_experiments.library import DragCal
+from qiskit_experiments.library import RoughDrag, RoughDragCal
from qiskit_experiments.test.mock_iq_backend import DragBackend
+from qiskit_experiments.calibration_management.basis_gate_library import FixedFrequencyTransmon
+from qiskit_experiments.calibration_management import BackendCalibrations
class TestDragEndToEnd(QiskitTestCase):
@@ -41,14 +44,21 @@ def setUp(self):
self.x_plus = xp
self.test_tol = 0.05
+ def test_reps(self):
+ """Test that setting reps raises and error if reps is not of length three."""
+
+ drag = RoughDrag(0, self.x_plus)
+
+ with self.assertRaises(CalibrationError):
+ drag.set_experiment_options(reps=[1, 2, 3, 4])
+
def test_end_to_end(self):
"""Test the drag experiment end to end."""
- backend = DragBackend(gate_name="xp")
+ backend = DragBackend(gate_name="Drag(xp)")
- drag = DragCal(1)
+ drag = RoughDrag(1, self.x_plus)
- drag.set_experiment_options(schedule=self.x_plus)
expdata = drag.run(backend).block_for_results()
result = expdata.analysis_results(1)
@@ -57,27 +67,22 @@ def test_end_to_end(self):
# Small leakage will make the curves very flat, in this case one should
# rather increase beta.
- backend = DragBackend(error=0.0051, gate_name="xp")
+ backend = DragBackend(error=0.0051, gate_name="Drag(xp)")
- drag = DragCal(0)
+ drag = RoughDrag(0, self.x_plus)
drag.set_analysis_options(p0={"beta": 1.2})
- drag.set_experiment_options(schedule=self.x_plus)
exp_data = drag.run(backend).block_for_results()
result = exp_data.analysis_results(1)
- meas_level = exp_data.metadata["job_metadata"][-1]["run_options"]["meas_level"]
-
self.assertTrue(abs(result.value.value - backend.ideal_beta) < self.test_tol)
self.assertEqual(result.quality, "good")
# Large leakage will make the curves oscillate quickly.
- backend = DragBackend(error=0.05, gate_name="xp")
+ backend = DragBackend(error=0.05, gate_name="Drag(xp)")
- drag = DragCal(1)
+ drag = RoughDrag(1, self.x_plus, betas=np.linspace(-4, 4, 31))
drag.set_run_options(shots=200)
- drag.set_experiment_options(betas=np.linspace(-4, 4, 31))
drag.set_analysis_options(p0={"beta": 1.8, "freq0": 0.08, "freq1": 0.16, "freq2": 0.32})
- drag.set_experiment_options(schedule=self.x_plus)
exp_data = drag.run(backend).block_for_results()
result = exp_data.analysis_results(1)
@@ -105,16 +110,16 @@ def setUp(self):
def test_default_circuits(self):
"""Test the default circuit."""
- backend = DragBackend(error=0.005, gate_name="xp")
+ backend = DragBackend(error=0.005, gate_name="Drag(xp)")
- drag = DragCal(0)
- drag.set_experiment_options(reps=[2, 4, 8], schedule=self.x_plus)
- drag.backend = DragBackend(gate_name="xp")
+ drag = RoughDrag(0, self.x_plus)
+ drag.set_experiment_options(reps=[2, 4, 8])
+ drag.backend = DragBackend(gate_name="Drag(xp)")
circuits = drag.circuits()
for idx, expected in enumerate([4, 8, 16]):
ops = transpile(circuits[idx * 51], backend).count_ops()
- self.assertEqual(ops["xp"], expected)
+ self.assertEqual(ops["Drag(xp)"], expected)
def test_raise_multiple_parameter(self):
"""Check that the experiment raises with unassigned parameters."""
@@ -125,31 +130,49 @@ def test_raise_multiple_parameter(self):
with pulse.build(name="xp") as xp:
pulse.play(Drag(duration=160, amp=amp, sigma=40, beta=beta), DriveChannel(0))
- backend = DragBackend(error=0.05, gate_name="xp")
+ with self.assertRaises(QiskitError):
+ RoughDrag(1, xp, betas=np.linspace(-3, 3, 21))
- drag = DragCal(1)
- drag.set_experiment_options(betas=np.linspace(-3, 3, 21))
- drag.set_experiment_options(schedule=xp)
- with self.assertRaises(CalibrationError):
- drag.run(backend).analysis_results(0)
+class TestRoughDragCalUpdate(QiskitTestCase):
+ """Test that a Drag calibration experiment properly updates the calibrations."""
+
+ def setUp(self):
+ """Setup the tests"""
+ super().setUp()
+ library = FixedFrequencyTransmon()
-class TestDragOptions(QiskitTestCase):
- """Test non-trivial options."""
+ self.backend = DragBackend(gate_name="Drag(x)")
+ self.cals = BackendCalibrations(self.backend, library)
+ self.test_tol = 0.05
- def test_reps(self):
- """Test that setting reps raises and error if reps is not of length three."""
+ def test_update(self):
+ """Test that running RoughDragCal updates the calibrations."""
- drag = DragCal(0)
+ qubit = 0
+ prev_beta = self.cals.get_parameter_value("β", (0,), "x")
+ self.assertEqual(prev_beta, 0)
- with self.assertRaises(CalibrationError):
- drag.set_experiment_options(reps=[1, 2, 3, 4])
+ RoughDragCal(qubit, self.cals, backend=self.backend).run().block_for_results()
+
+ new_beta = self.cals.get_parameter_value("β", (0,), "x")
+ self.assertTrue(abs(new_beta - self.backend.ideal_beta) < self.test_tol)
+ self.assertTrue(abs(new_beta) > self.test_tol)
def test_experiment_config(self):
"""Test converting to and from config works"""
- exp = DragCal(0)
+ exp = RoughDragCal(0, self.cals, backend=self.backend)
+ config = exp.config
+ loaded_exp = RoughDragCal.from_config(config)
+ self.assertNotEqual(exp, loaded_exp)
+ self.assertEqual(config, loaded_exp.config)
+
+ with pulse.build(name="xp") as sched:
+ pulse.play(pulse.Drag(160, 0.5, 40, Parameter("β")), pulse.DriveChannel(0))
+
+ exp = RoughDrag(0, backend=self.backend, schedule=sched)
config = exp.config
- loaded_exp = DragCal.from_config(config)
+ loaded_exp = RoughDrag.from_config(config)
self.assertNotEqual(exp, loaded_exp)
self.assertEqual(config, loaded_exp.config)
diff --git a/test/calibration/test_update_library.py b/test/calibration/test_update_library.py
index c0c8fbca93..3db5d0e7da 100644
--- a/test/calibration/test_update_library.py
+++ b/test/calibration/test_update_library.py
@@ -21,15 +21,13 @@
import qiskit.pulse as pulse
from qiskit.test.mock import FakeAthens
-from qiskit_experiments.library import FineXDrag, DragCal, QubitSpectroscopy
+from qiskit_experiments.library import FineXDrag, QubitSpectroscopy
from qiskit_experiments.calibration_management.calibrations import Calibrations
from qiskit_experiments.calibration_management.update_library import (
Frequency,
- Drag,
FineDragUpdater,
)
from qiskit_experiments.calibration_management.backend_calibrations import BackendCalibrations
-from qiskit_experiments.test.mock_iq_backend import DragBackend
from .experiments.test_fine_drag import FineDragTestBackend
@@ -88,65 +86,6 @@ def test_frequency(self):
self.assertEqual(cals.get_qubit_frequencies()[qubit], value)
-class TestDragUpdate(QiskitTestCase):
- """Test the frequency update function in the update library."""
-
- def test_drag(self):
- """Test calibrations update from drag."""
-
- backend = DragBackend(gate_name="xp")
- beta = Parameter("β")
- qubit = 1
- test_tol = 0.02
- chan = Parameter("ch0")
-
- with pulse.build(backend=backend, name="xp") as x_plus:
- pulse.play(
- pulse.Drag(duration=160, amp=0.208519, sigma=40, beta=beta),
- pulse.DriveChannel(chan),
- )
-
- # Setup the calibrations
- cals = BackendCalibrations(backend)
-
- cals.add_schedule(x_plus, num_qubits=1)
-
- cals.add_parameter_value(0.2, "β", qubit, x_plus)
- cals.inst_map_add("xp", (qubit,))
-
- # Check that the inst_map has the default beta
- beta_val = cals.default_inst_map.get("xp", (qubit,)).blocks[0].pulse.beta
- self.assertEqual(beta_val, 0.2)
-
- # Run a Drag calibration experiment.
- drag = DragCal(qubit)
- drag.set_experiment_options(
- schedule=cals.get_schedule("xp", qubit, assign_params={"β": beta}),
- )
-
- exp_data = drag.run(backend)
- exp_data.block_for_results()
- result = exp_data.analysis_results(1)
-
- # Test the fit for good measure.
- self.assertTrue(abs(result.value.value - backend.ideal_beta) < test_tol)
- self.assertEqual(result.quality, "good")
-
- # Check schedules pre-update
- expected = x_plus.assign_parameters({beta: 0.2, chan: 1}, inplace=False)
- self.assertEqual(cals.get_schedule("xp", qubit), expected)
-
- Drag.update(cals, exp_data, parameter="β", schedule="xp")
-
- # Check schedules post-update
- expected = x_plus.assign_parameters({beta: result.value.value, chan: 1}, inplace=False)
- self.assertEqual(cals.get_schedule("xp", qubit), expected)
-
- # Check the inst map post update
- beta_val = cals.default_inst_map.get("xp", (qubit,)).blocks[0].pulse.beta
- self.assertTrue(np.allclose(beta_val, result.value.value))
-
-
class TestFineDragUpdate(QiskitTestCase):
"""A class to test fine DRAG updates."""