diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 63264533..a56a4bbe 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,22 +1,16 @@
 repos:
 -   repo: https://github.com/ambv/black
-    rev: 21.5b1
+    rev: 21.12b0
     hooks:
     - id: black
       language_version: python3
 -   repo: https://github.com/pycqa/flake8
-    rev: 3.9.2
+    rev: 4.0.1
     hooks:
     - id: flake8
 -   repo: https://github.com/pre-commit/mirrors-mypy
-    rev: 'v0.812'
+    rev: 'v0.930'
     hooks:
     - id: mypy
       args: [--no-strict-optional, --ignore-missing-imports]
-      additional_dependencies: [cma==3.0.3,
-                                numpy==1.19.5, 
-                                scipy==1.5.2,
-                                tensorflow==2.4.2, 
-                                tensorflow-probability==0.12.1, 
-                                tensorflow-estimator==2.4.0
-                                ]
+      
\ No newline at end of file
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1499cf87..4ca53cc7 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,6 +9,12 @@ This Changelog tracks all past changes to this project as well as details about
 - `fixed` for any bug fixes.
 - `security` in case of vulnerabilities.
 
+## Upcoming Version
+
+### Details
+
+- `added` proper physics simulation of circuits using qiskit interface #165
+
 ## Version `1.4` - 23 Dec 2021
 
 ### Summary
diff --git a/c3/experiment.py b/c3/experiment.py
index f2c926a0..65189bb9 100755
--- a/c3/experiment.py
+++ b/c3/experiment.py
@@ -152,7 +152,7 @@ def quick_setup(self, cfg) -> None:
             qubit_1 = model.subsystems[props["qubit_1"]]
             qubit_2 = model.subsystems[props["qubit_2"]]
             instr = Instruction(
-                name=gate_name,
+                name=props["name"],
                 targets=[
                     model.names.index(props["qubit_1"]),
                     model.names.index(props["qubit_2"]),
diff --git a/c3/libraries/propagation.py b/c3/libraries/propagation.py
index b753b61f..ee4b0c92 100644
--- a/c3/libraries/propagation.py
+++ b/c3/libraries/propagation.py
@@ -165,7 +165,7 @@ def _get_hs_of_t_ts(
     ts = tf.constant(tf.math.reduce_mean(ts_list, axis=0))
     if not np.all(tf.math.reduce_variance(ts_list, axis=0) < 1e-5 * (ts[1] - ts[0])):
         raise Exception("C3Error:Something with the times happend.")
-    if not np.all(tf.math.reduce_variance(ts[1:] - ts[:-1]) < 1e-5 * (ts[1] - ts[0])):
+    if not np.all(tf.math.reduce_variance(ts[1:] - ts[:-1]) < 1e-5 * (ts[1] - ts[0])):  # type: ignore
         raise Exception("C3Error:Something with the times happend.")
 
     dt = tf.constant(ts[1 * prop_res].numpy() - ts[0].numpy(), dtype=tf.complex128)
@@ -263,7 +263,7 @@ def pwc(model: Model, gen: Generator, instr: Instruction) -> Dict:
         ):
             raise Exception("C3Error:Something with the times happend.")
         if not np.all(
-            tf.math.reduce_variance(ts[1:] - ts[:-1]) < 1e-5 * (ts[1] - ts[0])
+            tf.math.reduce_variance(ts[1:] - ts[:-1]) < 1e-5 * (ts[1] - ts[0])  # type: ignore
         ):
             raise Exception("C3Error:Something with the times happend.")
 
diff --git a/c3/qiskit/c3_backend.py b/c3/qiskit/c3_backend.py
index ce2f40c2..40d22431 100644
--- a/c3/qiskit/c3_backend.py
+++ b/c3/qiskit/c3_backend.py
@@ -375,8 +375,8 @@ def run_experiment(self, experiment: QasmQobjExperiment) -> Dict[str, Any]:
 
         # initialise parameters
         self._number_of_qubits = len(pmap.model.subsystems)
-        if self._number_of_qubits != experiment.config.n_qubits:
-            raise C3QiskitError("Number of qubits in Circuit & Device don't match")
+        if self._number_of_qubits < experiment.config.n_qubits:
+            raise C3QiskitError("Not enough qubits on device to run circuit")
 
         shots = self._shots
 
@@ -453,7 +453,6 @@ def run_experiment(self, experiment: QasmQobjExperiment) -> Dict[str, Any]:
 
 
 class C3QasmPhysicsSimulator(C3QasmSimulator):
-    # TODO Boilerplate code. This simulator is not yet implemented.
     """A C3-based perfect gates simulator for Qiskit
 
     Parameters
@@ -474,9 +473,12 @@ class C3QasmPhysicsSimulator(C3QasmSimulator):
         "open_pulse": False,
         "memory": False,
         "max_shots": 65536,
-        "coupling_map": None,
+        "coupling_map": None,  # TODO Coupling map from config file
         "description": "A physics based c3 simulator for qasm experiments",
-        "basis_gates": [],  # TODO add basis gates
+        "basis_gates": [  # TODO Basis gates from config file
+            "cx",
+            "x",
+        ],
         "gates": [],
     }
 
@@ -544,14 +546,15 @@ def run_experiment(self, experiment: QasmQobjExperiment) -> Dict[str, Any]:
 
         # setup C3 Experiment
         exp = Experiment()
-        exp.quick_setup(self._device_config)
+        exp.load_quick_setup(self._device_config)
+        exp.enable_qasm()
+        exp.compute_propagators()  # TODO only simulate qubits used in circuit
         pmap = exp.pmap
-        model = pmap.model  # noqa
 
         # initialise parameters
         self._number_of_qubits = len(pmap.model.subsystems)
-        if self._number_of_qubits != experiment.config.n_qubits:
-            raise C3QiskitError("Number of qubits in Circuit & Device dont match")
+        if self._number_of_qubits < experiment.config.n_qubits:
+            raise C3QiskitError("Not enough qubits on device to run circuit")
 
         shots = self._shots  # noqa
 
@@ -564,24 +567,22 @@ def run_experiment(self, experiment: QasmQobjExperiment) -> Dict[str, Any]:
         # TODO set simulator seed, check qiskit python qasm simulator
         # qiskit-terra/qiskit/providers/basicaer/qasm_simulator.py
         seed_simulator = 2441129
+        instructions_list = [
+            instruction.to_dict() for instruction in experiment.instructions
+        ]
 
-        # convert qasm instruction set to c3 sequence
-        sequence = get_sequence(experiment.instructions)  # noqa
-
-        # TODO get_init_ground_state(), compute_propagators(), evaluate(), process()
-
-        # generate shots style readout with no SPAM
-        # TODO a sophisticated readout/measurement routine
-
-        # TODO generate state labels using get_labels()
+        pops = exp.evaluate([instructions_list])
+        pop1s, _ = exp.process(pops)
 
-        # TODO create results dict and remove empty states
-        counts = {}  # type: ignore
+        # TODO generate shots style readout ref Perfect Simulator
+        # TODO a sophisticated readout/measurement routine (w/ SPAM)
+        # C3 stores labels in exp.pmap.model.state_labels
+        counts = dict(zip(self.get_labels(), pop1s[0].numpy().tolist()))
 
         # flipping state labels to match qiskit style qubit indexing convention
         # default is to flip labels to qiskit style, use disable_flip_labels()
-        if self._flip_labels:
-            counts = flip_labels(counts)
+        # if self._flip_labels:
+        #     counts = flip_labels(counts)
 
         end = time.time()
 
diff --git a/examples/c3_qiskit.ipynb b/examples/c3_qiskit.ipynb
index 5d057840..2040015f 100644
--- a/examples/c3_qiskit.ipynb
+++ b/examples/c3_qiskit.ipynb
@@ -43,6 +43,7 @@
    },
    "outputs": [],
    "source": [
+    "from pprint import pprint\n",
     "import numpy as np\n",
     "from c3.qiskit import C3Provider\n",
     "from qiskit import transpile, execute, QuantumCircuit, Aer\n",
@@ -69,21 +70,20 @@
    },
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "<qiskit.circuit.instructionset.InstructionSet at 0x7f08b3621280>"
+       "<qiskit.circuit.instructionset.InstructionSet at 0x28d550ac0>"
       ]
      },
+     "execution_count": 3,
      "metadata": {},
-     "execution_count": 3
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "qc = QuantumCircuit(6, 6)\n",
-    "qc.rx(np.pi/2, 0)\n",
-    "qc.rx(np.pi/2, 1)\n",
-    "qc.measure([0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5])"
+    "qc = QuantumCircuit(3, 3)\n",
+    "qc.x(0)\n",
+    "qc.cx(0, 1)"
    ]
   },
   {
@@ -99,29 +99,33 @@
    },
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "     ┌─────────┐         ┌─┐   \n",
-       "q_0: ┤ RX(π/2) ├─────────┤M├───\n",
-       "     ├─────────┤         └╥┘┌─┐\n",
-       "q_1: ┤ RX(π/2) ├──────────╫─┤M├\n",
-       "     └───┬─┬───┘          ║ └╥┘\n",
-       "q_2: ────┤M├──────────────╫──╫─\n",
-       "         └╥┘    ┌─┐       ║  ║ \n",
-       "q_3: ─────╫─────┤M├───────╫──╫─\n",
-       "          ║     └╥┘┌─┐    ║  ║ \n",
-       "q_4: ─────╫──────╫─┤M├────╫──╫─\n",
-       "          ║      ║ └╥┘┌─┐ ║  ║ \n",
-       "q_5: ─────╫──────╫──╫─┤M├─╫──╫─\n",
-       "          ║      ║  ║ └╥┘ ║  ║ \n",
-       "c: 6/═════╩══════╩══╩══╩══╩══╩═\n",
-       "          2      3  4  5  0  1 "
+      "text/html": [
+       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">     ┌───┐     \n",
+       "q_0: ┤ X ├──■──\n",
+       "     └───┘┌─┴─┐\n",
+       "q_1: ─────┤ X ├\n",
+       "          └───┘\n",
+       "q_2: ──────────\n",
+       "               \n",
+       "c: 3/══════════\n",
+       "               </pre>"
       ],
-      "text/html": "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">     ┌─────────┐         ┌─┐   \nq_0: ┤ RX(π/2) ├─────────┤M├───\n     ├─────────┤         └╥┘┌─┐\nq_1: ┤ RX(π/2) ├──────────╫─┤M├\n     └───┬─┬───┘          ║ └╥┘\nq_2: ────┤M├──────────────╫──╫─\n         └╥┘    ┌─┐       ║  ║ \nq_3: ─────╫─────┤M├───────╫──╫─\n          ║     └╥┘┌─┐    ║  ║ \nq_4: ─────╫──────╫─┤M├────╫──╫─\n          ║      ║ └╥┘┌─┐ ║  ║ \nq_5: ─────╫──────╫──╫─┤M├─╫──╫─\n          ║      ║  ║ └╥┘ ║  ║ \nc: 6/═════╩══════╩══╩══╩══╩══╩═\n          2      3  4  5  0  1 </pre>"
+      "text/plain": [
+       "     ┌───┐     \n",
+       "q_0: ┤ X ├──■──\n",
+       "     └───┘┌─┴─┐\n",
+       "q_1: ─────┤ X ├\n",
+       "          └───┘\n",
+       "q_2: ──────────\n",
+       "               \n",
+       "c: 3/══════════\n",
+       "               "
+      ]
      },
+     "execution_count": 4,
      "metadata": {},
-     "execution_count": 4
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -149,7 +153,7 @@
    "outputs": [],
    "source": [
     "c3_provider = C3Provider()\n",
-    "c3_backend = c3_provider.get_backend(\"c3_qasm_perfect_simulator\")"
+    "c3_backend = c3_provider.get_backend(\"c3_qasm_physics_simulator\")"
    ]
   },
   {
@@ -165,10 +169,14 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
-      "Name: c3_qasm_perfect_simulator\nVersion: 0.1\nMax Qubits: 20\nOpenPulse Support: False\nBasis Gates: ['cx', 'cz', 'iSwap', 'id', 'x', 'y', 'z', 'rx', 'ry', 'rz', 'rzx']\n"
+      "Name: c3_qasm_physics_simulator\n",
+      "Version: 0.1\n",
+      "Max Qubits: 10\n",
+      "OpenPulse Support: False\n",
+      "Basis Gates: ['cx', 'x']\n"
      ]
     }
    ],
@@ -186,77 +194,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Let's view how the Qiskit Transpiler will convert the circuit"
+    "## Run a physical device simulation using C3"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2021-01-27T04:59:44.819589Z",
-     "iopub.status.busy": "2021-01-27T04:59:44.818757Z",
-     "iopub.status.idle": "2021-01-27T04:59:44.952572Z",
-     "shell.execute_reply": "2021-01-27T04:59:44.951896Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "trans_qc = transpile(qc, c3_backend)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2021-01-27T04:59:44.961075Z",
-     "iopub.status.busy": "2021-01-27T04:59:44.960455Z",
-     "iopub.status.idle": "2021-01-27T04:59:44.965846Z",
-     "shell.execute_reply": "2021-01-27T04:59:44.966359Z"
-    }
-   },
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "     ┌─────────┐         ┌─┐   \n",
-       "q_0: ┤ RX(π/2) ├─────────┤M├───\n",
-       "     ├─────────┤         └╥┘┌─┐\n",
-       "q_1: ┤ RX(π/2) ├──────────╫─┤M├\n",
-       "     └───┬─┬───┘          ║ └╥┘\n",
-       "q_2: ────┤M├──────────────╫──╫─\n",
-       "         └╥┘    ┌─┐       ║  ║ \n",
-       "q_3: ─────╫─────┤M├───────╫──╫─\n",
-       "          ║     └╥┘┌─┐    ║  ║ \n",
-       "q_4: ─────╫──────╫─┤M├────╫──╫─\n",
-       "          ║      ║ └╥┘┌─┐ ║  ║ \n",
-       "q_5: ─────╫──────╫──╫─┤M├─╫──╫─\n",
-       "          ║      ║  ║ └╥┘ ║  ║ \n",
-       "c: 6/═════╩══════╩══╩══╩══╩══╩═\n",
-       "          2      3  4  5  0  1 "
-      ],
-      "text/html": "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">     ┌─────────┐         ┌─┐   \nq_0: ┤ RX(π/2) ├─────────┤M├───\n     ├─────────┤         └╥┘┌─┐\nq_1: ┤ RX(π/2) ├──────────╫─┤M├\n     └───┬─┬───┘          ║ └╥┘\nq_2: ────┤M├──────────────╫──╫─\n         └╥┘    ┌─┐       ║  ║ \nq_3: ─────╫─────┤M├───────╫──╫─\n          ║     └╥┘┌─┐    ║  ║ \nq_4: ─────╫──────╫─┤M├────╫──╫─\n          ║      ║ └╥┘┌─┐ ║  ║ \nq_5: ─────╫──────╫──╫─┤M├─╫──╫─\n          ║      ║  ║ └╥┘ ║  ║ \nc: 6/═════╩══════╩══╩══╩══╩══╩═\n          2      3  4  5  0  1 </pre>"
-     },
-     "metadata": {},
-     "execution_count": 8
-    }
-   ],
-   "source": [
-    "trans_qc.draw()"
-   ]
-  },
-  {
-   "source": [
-    "## Run an ideal device simulation using C3"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-01-27T04:59:44.975298Z",
@@ -265,17 +208,26 @@
      "shell.execute_reply": "2021-01-27T05:00:47.448767Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "No measurements in circuit \"circuit-0\", classical register will remain all zeros.\n",
+      "2021-12-29 11:55:17.185809: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)\n",
+      "2021-12-29 11:55:17.187947: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz\n"
+     ]
+    }
+   ],
    "source": [
-    "c3_backend.set_device_config(\"quickstart.hjson\")\n",
-    "c3_backend.disable_flip_labels()\n",
-    "c3_job = execute(qc, c3_backend, shots=1000)\n",
+    "c3_backend.set_device_config(\"qiskit.cfg\")\n",
+    "c3_job = execute(qc, c3_backend)\n",
     "result = c3_job.result()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-01-27T05:00:47.453142Z",
@@ -286,21 +238,28 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
-      "{'000000': 250, '010000': 250, '100000': 250, '110000': 250}\n"
+      "{'000': 0.005977052024699964,\n",
+      " '001': 3.309772803976941e-29,\n",
+      " '010': 0.5026307720154571,\n",
+      " '011': 5.253849204112465e-32,\n",
+      " '100': 0.08234031004302313,\n",
+      " '101': 1.185950334554713e-33,\n",
+      " '110': 0.40905186591686277,\n",
+      " '111': 6.79320316560621e-36}\n"
      ]
     }
    ],
    "source": [
-    "res_counts = result.get_counts(qc)\n",
-    "print(res_counts)"
+    "res_counts = result.get_counts()\n",
+    "pprint(res_counts)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2021-01-27T05:00:47.462110Z",
@@ -311,49 +270,74 @@
    },
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
+      "image/png": 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\n"
+      ]
      },
+     "execution_count": 9,
      "metadata": {},
-     "execution_count": 11
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "plot_histogram(res_counts, title='C3 Perfect Devices simulation')"
+    "plot_histogram(res_counts, title='C3 Physical Device simulation')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we can see above, the c3 simulator correctly calculates the populations taking into physical device coupling and unoptimized gate pulses."
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "## Run Simulation and verify results on Qiskit simulator"
-   ],
+   ]
+  },
+  {
    "cell_type": "markdown",
-   "metadata": {}
+   "metadata": {},
+   "source": [
+    "Qiskit uses little-endian bit ordering while most Quantum Computing literature uses big-endian. This is reflected in the reversed ordering of qubit labels here.\n",
+    "\n",
+    "Ref: [Basis Vector Ordering in Qiskit](https://qiskit.org/documentation/tutorials/circuits/3_summary_of_quantum_operations.html#Basis-vector-ordering-in-Qiskit)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/homebrew/Caskroom/miniforge/base/envs/c3-dev/lib/python3.8/site-packages/numpy/linalg/linalg.py:2158: RuntimeWarning: divide by zero encountered in det\n",
+      "  r = _umath_linalg.det(a, signature=signature)\n",
+      "/opt/homebrew/Caskroom/miniforge/base/envs/c3-dev/lib/python3.8/site-packages/numpy/linalg/linalg.py:2158: RuntimeWarning: invalid value encountered in det\n",
+      "  r = _umath_linalg.det(a, signature=signature)\n"
+     ]
+    },
+    {
      "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 504x360 with 1 Axes>"
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\n"
+      ]
      },
+     "execution_count": 10,
      "metadata": {},
-     "execution_count": 12
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "qiskit_simulator = Aer.get_backend('qasm_simulator')\n",
+    "qc.measure([0, 1, 2], [0, 1, 2])\n",
     "qiskit_result = execute(qc, qiskit_simulator, shots=1000).result()\n",
     "counts = qiskit_result.get_counts(qc)\n",
     "plot_histogram(counts, title='Qiskit simulation')"
@@ -362,13 +346,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.8.5 64-bit",
-   "metadata": {
-    "interpreter": {
-     "hash": "5a55665ade3e65c3d9088c5eff5fc5091af84ead5e61e59beae6d6d9de42aec4"
-    }
-   }
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -380,9 +360,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5-final"
+   "version": "3.8.12"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
\ No newline at end of file
+}
diff --git a/examples/generator.cfg b/examples/generator.cfg
index 4ade5e88..66312b47 100644
--- a/examples/generator.cfg
+++ b/examples/generator.cfg
@@ -47,21 +47,21 @@
       }
   },
   "Chains": {
-    "d1": {
-      "LO": [],
-      "AWG": [],
-      "DigitalToAnalog": ["AWG"],
-      "Response": ["DigitalToAnalog"],
-      "Mixer": ["LO", "Response"],
-      "VoltsToHertz": ["Mixer"]
-    },
-    "d2": {
-      "LO": [],
-      "AWG": [],
-      "DigitalToAnalog": ["AWG"],
-      "Response": ["DigitalToAnalog"],
-      "Mixer": ["LO", "Response"],
-      "VoltsToHertz": ["Mixer"]
-    },
+      "d1": {
+          "LO": [],
+          "AWG": [],
+          "DigitalToAnalog": ["AWG"],
+          "Response": ["DigitalToAnalog"],
+          "Mixer": ["LO", "Response"],
+          "VoltsToHertz": ["Mixer"]
+      },
+      "d2": {
+          "LO": [],
+          "AWG": [],
+          "DigitalToAnalog": ["AWG"],
+          "Response": ["DigitalToAnalog"],
+          "Mixer": ["LO", "Response"],
+          "VoltsToHertz": ["Mixer"]
+      },
   }
 }
diff --git a/examples/qiskit.cfg b/examples/qiskit.cfg
new file mode 100644
index 00000000..349374ad
--- /dev/null
+++ b/examples/qiskit.cfg
@@ -0,0 +1,29 @@
+{
+  "optim_type": "C1",
+  "run_name" : "qiskit",
+  "include_model" : true,
+  "model" : "test_model.cfg",
+  "generator": "generator.cfg",
+  "v2hz": 1e9
+  "sideband": 50e6
+  "single_qubit_gate_time" : 20e-9
+  "single_qubit_gates":
+  {
+    "rx90pQ1": {name: "x", "qubits": "Q1"},
+    "rx90pQ2": {name: "x", "qubits": "Q2"},
+  }
+  "two_qubit_gates":
+  {
+    "cx01":
+    {
+      name: "cx"
+      qubit_1: Q1
+      qubit_2: Q2
+      gate_time: 50e-9
+    },
+  }
+  "dir_path" : "/tmp",
+  "algorithm" : lbfgs,
+  "fid_func" : average_infid_set,
+  "fid_subspace" : ["Q1", "Q2"],
+}
diff --git a/examples/test_model.cfg b/examples/test_model.cfg
index b68e949e..36d7733d 100644
--- a/examples/test_model.cfg
+++ b/examples/test_model.cfg
@@ -39,45 +39,6 @@
       },
       "hilbert_dim" : 2
     },
-    "Q4" : {
-      "c3type": "Qubit",
-      "desc" : "Qubit 2",
-      "params": {
-        "freq" : {
-          "value" : 5.2e9,
-          "unit" : "Hz 2pi",
-          "min_val" : 4.5e9,
-          "max_val" : 5.5e9
-        }
-      },
-      "hilbert_dim" : 2
-    },
-    "Q5" : {
-      "c3type": "Qubit",
-      "desc" : "Qubit 1",
-      "params": {
-        "freq" : {
-          "value" : 5.1e9,
-          "unit" : "Hz 2pi",
-          "min_val" : 4.5e9,
-          "max_val" : 5.5e9
-        }
-      },
-      "hilbert_dim" : 2
-    },
-    "Q6" : {
-      "c3type": "Qubit",
-      "desc" : "Qubit 2",
-      "params": {
-        "freq" : {
-          "value" : 4.6e9,
-          "unit" : "Hz 2pi",
-          "min_val" : 4.5e9,
-          "max_val" : 5.5e9
-        }
-      },
-      "hilbert_dim" : 2
-    }
   },
   "Couplings" : {
     "Q1-Q2" : {
@@ -94,20 +55,6 @@
       "hamiltonian_func" : "int_XX",
       "connected" : ["Q1", "Q2"]
     },
-    "Q4-Q6" : {
-      "c3type": "Coupling",
-      "desc" : "Coupling qubit 1 and 2",
-      "params": {
-        "strength" : {
-          "value" : 20e6,
-          "unit" : "Hz 2pi",
-          "min_val" : -1e6,
-          "max_val" : 50e6
-        }
-      },
-      "hamiltonian_func" : "int_XX",
-      "connected" : ["Q4", "Q6"]
-    },
     "d1" : {
       "c3type": "Drive",
       "desc" : "Drive on qubit 1",
diff --git a/test/conftest.py b/test/conftest.py
index d6481010..c6582fe7 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -90,19 +90,29 @@ def get_bad_circuit() -> QuantumCircuit:
 
 
 @pytest.fixture()
-def get_6_qubit_circuit() -> QuantumCircuit:
-    """fixture for 6 qubit Quantum Circuit
+def get_3_qubit_circuit() -> QuantumCircuit:
+    """fixture for 3 qubit Quantum Circuit
 
     Returns
     -------
     QuantumCircuit
-        A circuit with an X on qubit 1
     """
-    qc = QuantumCircuit(6, 6)
+    qc = QuantumCircuit(3, 3)
     qc.rx(np.pi / 2, 0)
     qc.rx(np.pi / 2, 1)
 
-    qc.measure([0, 1, 2, 3, 4, 5], [0, 1, 2, 3, 4, 5])
+    qc.measure(
+        [
+            0,
+            1,
+            2,
+        ],
+        [
+            0,
+            1,
+            2,
+        ],
+    )
     return qc
 
 
@@ -132,7 +142,7 @@ def get_result_qiskit() -> Dict[str, Dict[str, Any]]:
 
     """
     # Result of physics based sim for applying X on qubit 0 in 6 qubits
-    perfect_counts = {"000000": 250, "010000": 250, "100000": 250, "110000": 250}
+    perfect_counts = {"000": 250, "010": 250, "100": 250, "110": 250}
 
     counts_dict = {
         "c3_qasm_perfect_simulator": perfect_counts,
diff --git a/test/qiskit.cfg b/test/qiskit.cfg
new file mode 100644
index 00000000..22bc1a43
--- /dev/null
+++ b/test/qiskit.cfg
@@ -0,0 +1,29 @@
+{
+  "optim_type": "C1",
+  "run_name" : "qiskit",
+  "include_model" : true,
+  "model" : "test/test_model.cfg",
+  "generator": "test/generator.cfg",
+  "v2hz": 1e9
+  "sideband": 50e6
+  "single_qubit_gate_time" : 20e-9
+  "single_qubit_gates":
+  {
+    "rx90pQ1": {name: "x", "qubits": "Q1"},
+    "rx90pQ2": {name: "x", "qubits": "Q2"},
+  }
+  "two_qubit_gates":
+  {
+    "cx01":
+    {
+      name: "cx"
+      qubit_1: Q1
+      qubit_2: Q2
+      gate_time: 50e-9
+    },
+  }
+  "dir_path" : "/tmp",
+  "algorithm" : lbfgs,
+  "fid_func" : average_infid_set,
+  "fid_subspace" : ["Q1", "Q2"],
+}
diff --git a/test/test_model.cfg b/test/test_model.cfg
index b68e949e..36d7733d 100644
--- a/test/test_model.cfg
+++ b/test/test_model.cfg
@@ -39,45 +39,6 @@
       },
       "hilbert_dim" : 2
     },
-    "Q4" : {
-      "c3type": "Qubit",
-      "desc" : "Qubit 2",
-      "params": {
-        "freq" : {
-          "value" : 5.2e9,
-          "unit" : "Hz 2pi",
-          "min_val" : 4.5e9,
-          "max_val" : 5.5e9
-        }
-      },
-      "hilbert_dim" : 2
-    },
-    "Q5" : {
-      "c3type": "Qubit",
-      "desc" : "Qubit 1",
-      "params": {
-        "freq" : {
-          "value" : 5.1e9,
-          "unit" : "Hz 2pi",
-          "min_val" : 4.5e9,
-          "max_val" : 5.5e9
-        }
-      },
-      "hilbert_dim" : 2
-    },
-    "Q6" : {
-      "c3type": "Qubit",
-      "desc" : "Qubit 2",
-      "params": {
-        "freq" : {
-          "value" : 4.6e9,
-          "unit" : "Hz 2pi",
-          "min_val" : 4.5e9,
-          "max_val" : 5.5e9
-        }
-      },
-      "hilbert_dim" : 2
-    }
   },
   "Couplings" : {
     "Q1-Q2" : {
@@ -94,20 +55,6 @@
       "hamiltonian_func" : "int_XX",
       "connected" : ["Q1", "Q2"]
     },
-    "Q4-Q6" : {
-      "c3type": "Coupling",
-      "desc" : "Coupling qubit 1 and 2",
-      "params": {
-        "strength" : {
-          "value" : 20e6,
-          "unit" : "Hz 2pi",
-          "min_val" : -1e6,
-          "max_val" : 50e6
-        }
-      },
-      "hamiltonian_func" : "int_XX",
-      "connected" : ["Q4", "Q6"]
-    },
     "d1" : {
       "c3type": "Drive",
       "desc" : "Drive on qubit 1",
diff --git a/test/test_parsers.py b/test/test_parsers.py
index 57f8baf6..e4b006cc 100644
--- a/test/test_parsers.py
+++ b/test/test_parsers.py
@@ -26,12 +26,16 @@ def test_name_collision() -> None:
 
 @pytest.mark.unit
 def test_subsystems() -> None:
-    assert list(model.subsystems.keys()) == ["Q1", "Q2", "Q3", "Q4", "Q5", "Q6"]
+    assert list(model.subsystems.keys()) == [
+        "Q1",
+        "Q2",
+        "Q3",
+    ]
 
 
 @pytest.mark.unit
 def test_couplings() -> None:
-    assert list(model.couplings.keys()) == ["Q1-Q2", "Q4-Q6", "d1", "d2"]
+    assert list(model.couplings.keys()) == ["Q1-Q2", "d1", "d2"]
 
 
 @pytest.mark.unit
@@ -45,8 +49,8 @@ def test_tasks() -> None:
 
 
 @pytest.mark.unit
-def test_q6_freq() -> None:
-    assert str(model.subsystems["Q6"].params["freq"]) == "4.600 GHz 2pi "
+def test_q3_freq() -> None:
+    assert str(model.subsystems["Q3"].params["freq"]) == "5.000 GHz 2pi "
 
 
 @pytest.mark.unit
diff --git a/test/test_qiskit.py b/test/test_qiskit.py
index 222dc827..f33837dd 100644
--- a/test/test_qiskit.py
+++ b/test/test_qiskit.py
@@ -7,7 +7,7 @@
 from qiskit.quantum_info import Statevector
 from qiskit import transpile
 from qiskit.providers import BackendV1 as Backend
-from qiskit import execute
+from qiskit import execute, QuantumCircuit
 import pytest
 
 
@@ -22,7 +22,9 @@ def test_backends():
 
 @pytest.mark.unit
 @pytest.mark.qiskit
-@pytest.mark.parametrize("backend", ["c3_qasm_perfect_simulator"])
+@pytest.mark.parametrize(
+    "backend", ["c3_qasm_perfect_simulator", "c3_qasm_physics_simulator"]
+)
 def test_get_backend(backend):
     """Test get_backend() which returns the backend with matching name
 
@@ -62,13 +64,13 @@ def test_transpile(get_test_circuit, backend):  # noqa
 @pytest.mark.qiskit
 @pytest.mark.slow
 @pytest.mark.parametrize("backend", ["c3_qasm_perfect_simulator"])
-def test_get_result(get_6_qubit_circuit, backend, get_result_qiskit):  # noqa
-    """Test the counts from running a 6 qubit Circuit
+def test_get_result(get_3_qubit_circuit, backend, get_result_qiskit):  # noqa
+    """Test the counts from running a 3 qubit Circuit
 
     Parameters
     ----------
-    get_6_qubit_circuit : callable
-        pytest fixture for a 6 qubit circuit
+    get_3_qubit_circuit : callable
+        pytest fixture for a 3 qubit circuit
     backend : str
         name of the backend which is to be tested
     simulation_type: str
@@ -80,7 +82,7 @@ def test_get_result(get_6_qubit_circuit, backend, get_result_qiskit):  # noqa
     received_backend = c3_qiskit.get_backend(backend)
     received_backend.set_device_config("test/quickstart.hjson")
     received_backend.disable_flip_labels()
-    qc = get_6_qubit_circuit
+    qc = get_3_qubit_circuit
     job_sim = execute(qc, received_backend, shots=1000)
     result_sim = job_sim.result()
 
@@ -121,3 +123,39 @@ def test_get_exception(get_bad_circuit, backend):  # noqa
 
     with pytest.raises(C3QiskitError):
         execute(qc, received_backend, shots=1000)
+
+
+def test_qiskit_physics():
+    """API test for qiskit physics simulation"""
+    c3_qiskit = C3Provider()
+    physics_backend = c3_qiskit.get_backend("c3_qasm_physics_simulator")
+    physics_backend.set_device_config("test/qiskit.cfg")
+    qc = QuantumCircuit(3, 3)
+    qc.x(0)
+    qc.cx(0, 1)
+    job_sim = execute(qc, physics_backend)
+    print(job_sim.result().get_counts())
+
+
+@pytest.mark.parametrize(
+    "backend",
+    [
+        ("c3_qasm_perfect_simulator", "test/quickstart.hjson"),
+        ("c3_qasm_physics_simulator", "test/qiskit.cfg"),
+    ],
+)
+def test_too_many_qubits(backend):
+    """Check that error is raised when circuit has more qubits than device
+
+    Parameters
+    ----------
+    backend : tuple
+        name and device config of the backend to be tested
+    """
+    c3_qiskit = C3Provider()
+    received_backend = c3_qiskit.get_backend(backend[0])
+    received_backend.set_device_config(backend[1])
+    qc = QuantumCircuit(4, 4)
+    qc.x(1)
+    with pytest.raises(C3QiskitError):
+        execute(qc, received_backend, shots=1000)