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test_edesigntools.py
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test_edesigntools.py
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import time
from pygsti.baseobjs import Label
from pygsti.modelpacks import smq2Q_XYICNOT, smq1Q_XYI
from pygsti.tools import edesigntools as et
from pygsti.protocols import CircuitListsDesign, SimultaneousExperimentDesign, CombinedExperimentDesign
from pygsti.circuits import Circuit as C
from ..util import BaseCase
class EdesignToolsTester(BaseCase):
def test_time_estimation(self):
edesign = smq2Q_XYICNOT.create_gst_experiment_design(256)
# Dummy test: No time
time0 = et.calculate_edesign_estimated_runtime(
edesign,
gate_time_1Q=0,
gate_time_2Q=0,
measure_reset_time=0,
interbatch_latency=0,
)
self.assertAlmostEqual(time0, 0.0)
# Dummy test: 1 second for each circuit shot
time0 = et.calculate_edesign_estimated_runtime(
edesign,
gate_time_1Q=0,
gate_time_2Q=0,
measure_reset_time=1,
interbatch_latency=0,
total_shots_per_circuit=1000
)
self.assertAlmostEqual(time0, 1000*len(edesign.all_circuits_needing_data))
# Dummy test: 1 second for each circuit shot, + 10 s for each circuit due to batching
time0 = et.calculate_edesign_estimated_runtime(
edesign,
gate_time_1Q=0,
gate_time_2Q=0,
measure_reset_time=1,
interbatch_latency=10,
total_shots_per_circuit=1000,
circuits_per_batch=1
)
self.assertAlmostEqual(time0, 1010*len(edesign.all_circuits_needing_data))
# Dummy test: 1 second for each circuit shot, + (10 s for each circuit due to batching x 10 rounds)
time0 = et.calculate_edesign_estimated_runtime(
edesign,
gate_time_1Q=0,
gate_time_2Q=0,
measure_reset_time=1,
interbatch_latency=10,
total_shots_per_circuit=1000,
shots_per_circuit_per_batch=100,
circuits_per_batch=1
)
self.assertAlmostEqual(time0, 1100*len(edesign.all_circuits_needing_data))
# Try dict version of trapped ion example
gate_times = {
'Gxpi2': 10e-6,
'Gypi2': 10e-6,
'Gcnot': 100e-6,
Label(()): 10e-6,
}
time1 = et.calculate_edesign_estimated_runtime(
edesign,
gate_time_dict=gate_times,
measure_reset_time=500e-6,
interbatch_latency=0.1,
total_shots_per_circuit=1000,
shots_per_circuit_per_batch=100,
circuits_per_batch=200
)
# Try equivalent gate time version
time2 = et.calculate_edesign_estimated_runtime(
edesign,
gate_time_1Q=10e-6,
gate_time_2Q=100e-6,
measure_reset_time=500e-6,
interbatch_latency=0.1,
total_shots_per_circuit=1000,
shots_per_circuit_per_batch=100,
circuits_per_batch=200
)
self.assertAlmostEqual(time1, time2)
# Qubit-specific overload
gate_times2 = {
'Gxpi2': 10e-6,
('Gxpi2', 0): 20e-6,
'Gypi2': 10e-6,
'Gcnot': 100e-6,
Label(()): 10e-6,
}
time3 = et.calculate_edesign_estimated_runtime(
edesign,
gate_time_dict=gate_times2,
measure_reset_time=500e-6,
interbatch_latency=0.1,
total_shots_per_circuit=1000,
shots_per_circuit_per_batch=100,
circuits_per_batch=200
)
self.assertGreater(time3, time1)
def test_fisher_information(self):
target_model = smq1Q_XYI.target_model('TP')
edesign = smq1Q_XYI.create_gst_experiment_design(8)
# Basic usage
start = time.time()
fim1 = et.calculate_fisher_information_matrix(target_model, edesign.all_circuits_needing_data)
fim1_time = time.time() - start
# Try external regularized model version
regularized_model = target_model.copy().depolarize(spam_noise=1e-3)
fim2 = et.calculate_fisher_information_matrix(regularized_model, edesign.all_circuits_needing_data,
regularize_spam=False)
self.assertArraysAlmostEqual(fim1, fim2)
# Try pre-cached version
fim3_terms = et.calculate_fisher_information_per_circuit(regularized_model, edesign.all_circuits_needing_data)
start = time.time()
fim3 = et.calculate_fisher_information_matrix(target_model, edesign.all_circuits_needing_data, term_cache=fim3_terms)
fim3_time = time.time() - start
self.assertArraysAlmostEqual(fim1, fim3)
self.assertLess(10*fim3_time, fim1_time) # Cached version should be very fast compared to uncached
# Try by-L version
fim_by_L = et.calculate_fisher_information_matrices_by_L(target_model, edesign.all_circuits_needing_data)
self.assertArraysAlmostEqual(fim1, fim_by_L[8])
# Try pre-cached by-L version
start = time.time()
fim_by_L2 = et.calculate_fisher_information_matrices_by_L(target_model, edesign.all_circuits_needing_data, term_cache=fim3_terms)
fim_by_L2_time = time.time() - start
for k,v in fim_by_L2.items():
self.assertArraysAlmostEqual(v, fim_by_L[k])
self.assertLess(5*fim_by_L2_time, fim1_time) # Cached version should be very fast compared to uncached
def test_generic_design_padding(self):
# Create a series of designs with some overlap when they will be padded out
design_124 = CircuitListsDesign([[
C.cast('Gx:Q1Gy:Q1@(Q1,Q2,Q4)'),
C.cast('Gx:Q2Gy:Q2@(Q1,Q2,Q4)'), # Will be repeat with design_2
C.cast('Gx:Q4Gy:Q4@(Q1,Q2,Q4)'), # Will be repeat with design_14 (but only on Q4)
C.cast('Gx:Q1Gy:Q4@(Q1,Q2,Q4)'), # Will be repeat with design_14 (on both Q1 and Q4)
C.cast('[Gx:Q1Gy:Q2][Gy:Q1Gx:Q2]@(Q1,Q2,Q4)') # Will be repeat with sim_design_12
]], qubit_labels=('Q1', 'Q2', 'Q4'))
design_2 = CircuitListsDesign([[
C.cast('Gx:Q2Gy:Q2@(Q2)'), # Repeat from design_124 after padding
C.cast('Gy:Q2@(Q2)')
]], qubit_labels=('Q2',))
design_14 = CircuitListsDesign([[
C.cast('Gx:Q4Gy:Q4@(Q1,Q4)'), # Repeat from design_124 after padding
C.cast('Gx:Q1Gy:Q4@(Q1,Q4)'), # Repeat from design_124 after padding
C.cast('Gx:Q1@(Q1,Q4)')
]], qubit_labels=('Q1', 'Q4'))
sim_design_1 = CircuitListsDesign([[
C.cast('Gx:Q1Gy:Q1@(Q1)'), # Q1 part of repeat from design_124 after padding
C.cast('Gx:Q1Gx:Q1')
]], qubit_labels=('Q1',))
sim_design_2 = CircuitListsDesign([[
C.cast('Gy:Q2Gx:Q2@(Q2)'), # Q2 part of repeat from design_124 after padding
C.cast('Gx:Q2Gx:Q2')
]], qubit_labels=('Q2',))
sim_design_12 = SimultaneousExperimentDesign([sim_design_1, sim_design_2], qubit_labels=('Q1', 'Q2'))
# The expected deduplicated experiment
expected_design_012345 = CircuitListsDesign([[
C.cast('Gx:Q1Gy:Q1@(Q0,Q1,Q2,Q3,Q4,Q5)'), # design_124
C.cast('Gx:Q2Gy:Q2@(Q0,Q1,Q2,Q3,Q4,Q5)'), # design_124 and design_2
C.cast('Gx:Q4Gy:Q4@(Q0,Q1,Q2,Q3,Q4,Q5)'), # design_124 and design_14
C.cast('Gx:Q1Gy:Q4@(Q0,Q1,Q2,Q3,Q4,Q5)'), # design_124 and design_14
C.cast('Gy:Q2@(Q0,Q1,Q2,Q3,Q4,Q5)'), # design_2
C.cast('Gx:Q1@(Q0,Q1,Q2,Q3,Q4,Q5)'), # design_14
C.cast('[Gx:Q1Gy:Q2][Gy:Q1Gx:Q2]@(Q0,Q1,Q2,Q3,Q4,Q5)'), # design_124 and sim_design_12
C.cast('[Gx:Q1Gx:Q2][Gx:Q1Gx:Q2]@(Q0,Q1,Q2,Q3,Q4,Q5)') # sim_design_12
]], qubit_labels=('Q0', 'Q1', 'Q2', 'Q3', 'Q4', 'Q5'))
# Create nested combined designs and test padding
nested_design = CombinedExperimentDesign({
'2': design_2,
'14': design_14
})
full_design = CombinedExperimentDesign({
'124': design_124,
'2+14': nested_design,
'sim_12': sim_design_12
})
# Padding should dedup "repeats" and add qubits before/during/after the current lines
padded_design = et.pad_edesign_with_idle_lines(full_design, ('Q0', 'Q1', 'Q2', 'Q3', 'Q4', 'Q5'))
self.assertTrue(set(padded_design.all_circuits_needing_data) == set(expected_design_012345.all_circuits_needing_data),
"Padded experiment circuits did not match expected experiment circuits")
def test_gst_design_padding(self):
# Get GST designs
gst_1 = smq1Q_XYI.create_gst_experiment_design(8, ('Q1',))
gst_2 = smq1Q_XYI.create_gst_experiment_design(8, ('Q2',))
gst_12 = smq2Q_XYICNOT.create_gst_experiment_design(8, ('Q1', 'Q2'))
# Get nested combined design
nested_12 = CombinedExperimentDesign({
'1': gst_1,
'2': gst_2,
})
full_gst = CombinedExperimentDesign({
'1+2': nested_12,
'12': gst_12
})
# Pad and test
padded_gst_design = et.pad_edesign_with_idle_lines(full_gst, ('Q1', 'Q2'))
padded_circs_1 = [circ.insert_idling_lines(None, ('Q2',)) for circ in gst_1.all_circuits_needing_data]
self.assertTrue(set(padded_gst_design.all_circuits_needing_data).issuperset(set(padded_circs_1)),
"GST on qubit 1 was not a subset of padded experiment design")
padded_circs_2 = [circ.insert_idling_lines('Q2', ('Q1',)) for circ in gst_2.all_circuits_needing_data]
self.assertTrue(set(padded_gst_design.all_circuits_needing_data).issuperset(set(padded_circs_2)),
"GST on qubit 2 was not a subset of the padded experiment design")
self.assertTrue(set(padded_gst_design.all_circuits_needing_data).issuperset(set(gst_12.all_circuits_needing_data)),
"2Q GST was not a subset of the padded experiment design")