def test_create_program_graphs():
calib_time = datetime(year=2019, month=2, day=1,
hour=0, minute=0, second=0, tzinfo=timezone.utc)
qubit_list = []
ro_errors = [0.01, 0.01, 0.01]
for ro_error in ro_errors:
qubit_list.append(make_qubit_with_error(ro_error))
p01 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.9)]
g01 = Gate(name="CX0_1", gate="cx", parameters=p01, qubits=[0, 1])
p12 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
g12 = Gate(name="CX1_2", gate="cx", parameters=p12, qubits=[1, 2])
gate_list = [g01, g12]
bprop = BackendProperties(last_update_date=calib_time, backend_name="test_backend",
qubits=qubit_list, backend_version="1.0.0", gates=gate_list,
general=[])
circ_list = [random_circuit(2, 10, measure=True), random_circuit(
4, 10, measure=True), random_circuit(3, 10, measure=True), random_circuit(5, 10, measure=True)]
dag_list = [circuit_to_dag(circ) for circ in circ_list]
caml = CrosstalkAdaptiveMultiLayout(bprop)
num_q = caml._create_program_graphs(dag_list)
print(num_q)
heights = []
for dag in caml.dag_list:
height = dag.num_qubits()
heights.append(height)
print(heights)
def test_bad_readout(self):
"""Test that the mapper avoids bad readout unit"""
calib_time = datetime(year=2019, month=2, day=1, hour=0, minute=0, second=0)
qr = QuantumRegister(2, name="q")
circuit = QuantumCircuit(qr)
circuit.cx(qr[0], qr[1])
dag = circuit_to_dag(circuit)
qubit_list = []
ro_errors = [0.01, 0.01, 0.8]
for ro_error in ro_errors:
qubit_list.append(make_qubit_with_error(ro_error))
p01 = [Nduv(date=calib_time, name="gate_error", unit="", value=0.1)]
g01 = Gate(name="CX0_1", gate="cx", parameters=p01, qubits=[0, 1])
p12 = [Nduv(date=calib_time, name="gate_error", unit="", value=0.1)]
g12 = Gate(name="CX1_2", gate="cx", parameters=p12, qubits=[1, 2])
gate_list = [g01, g12]
bprop = BackendProperties(
last_update_date=calib_time,
backend_name="test_backend",
qubits=qubit_list,
backend_version="1.0.0",
gates=gate_list,
general=[],
)
nalayout = NoiseAdaptiveLayout(bprop)
nalayout.run(dag)
initial_layout = nalayout.property_set["layout"]
self.assertNotEqual(initial_layout[qr[0]], 2)
self.assertNotEqual(initial_layout[qr[1]], 2)
def test_on_linear_topology(self):
"""
Test that the mapper identifies the correct gate in a linear topology
"""
calib_time = datetime(year=2019,
month=2,
day=1,
hour=0,
minute=0,
second=0)
qr = QuantumRegister(2, name='q')
circuit = QuantumCircuit(qr)
circuit.cx(qr[0], qr[1])
dag = circuit_to_dag(circuit)
qubit_list = []
ro_errors = [0.01, 0.01, 0.01]
for ro_error in ro_errors:
qubit_list.append(make_qubit_with_error(ro_error))
p01 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.9)]
g01 = Gate(name="CX0_1", gate="cx", parameters=p01, qubits=[0, 1])
p12 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
g12 = Gate(name="CX1_2", gate="cx", parameters=p12, qubits=[1, 2])
gate_list = [g01, g12]
bprop = BackendProperties(last_update_date=calib_time,
backend_name="test_backend",
qubits=qubit_list,
backend_version="1.0.0",
gates=gate_list,
general=[])
nalayout = NoiseAdaptiveLayout(bprop)
nalayout.run(dag)
initial_layout = nalayout.property_set['layout']
self.assertNotEqual(initial_layout[qr[0]], 0)
self.assertNotEqual(initial_layout[qr[1]], 0)
def _build_props(self) -> BackendProperties:
"""Build properties for backend."""
qubits = []
gates = []
for (qubit_t1, qubit_t2, freq,
read_err) in zip(self.qubit_t1, self.qubit_t2,
self.qubit_frequency, self.qubit_readout_error):
qubits.append([
Nduv(date=self.now, name="T1", unit="µs", value=qubit_t1),
Nduv(date=self.now, name="T2", unit="µs", value=qubit_t2),
Nduv(date=self.now, name="frequency", unit="GHz", value=freq),
Nduv(date=self.now,
name="readout_error",
unit="",
value=read_err),
])
for gate in self.basis_gates:
parameters = [
Nduv(date=self.now, name="gate_error", unit="", value=0.01),
Nduv(date=self.now,
name="gate_length",
unit="ns",
value=4 * self.dt),
]
if gate in self.single_qubit_gates:
for i in range(self.n_qubits):
gates.append(
Gate(
gate=gate,
name=f"{gate}_{i}",
qubits=[i],
parameters=parameters,
))
elif gate == "cx":
for (qubit1, qubit2) in list(
itertools.combinations(range(self.n_qubits), 2)):
gates.append(
Gate(
gate=gate,
name=f"{gate}{qubit1}_{qubit2}",
qubits=[qubit1, qubit2],
parameters=parameters,
))
else:
raise QiskitError(
"{gate} is not supported by fake backend builder."
"".format(gate=gate))
return BackendProperties(
backend_name=self.name,
backend_version=self.version,
last_update_date=self.now,
qubits=qubits,
gates=gates,
general=[],
)
def _build_props(self) -> BackendProperties:
"""Build properties for backend."""
qubits = []
gates = []
for (qubit_t1, qubit_t2, freq,
read_err) in zip(self.qubit_t1, self.qubit_t2,
self.qubit_frequency, self.qubit_readout_error):
qubits.append([
Nduv(date=self.now, name='T1', unit='µs', value=qubit_t1),
Nduv(date=self.now, name='T2', unit='µs', value=qubit_t2),
Nduv(date=self.now, name='frequency', unit='GHz', value=freq),
Nduv(date=self.now,
name='readout_error',
unit='',
value=read_err)
])
for gate in self.basis_gates:
parameters = [
Nduv(date=self.now, name='gate_error', unit='', value=0.01),
Nduv(date=self.now,
name='gate_length',
unit='ns',
value=4 * self.dt)
]
if gate in self.single_qubit_gates:
for i in range(self.n_qubits):
gates.append(
Gate(gate=gate,
name="{0}_{1}".format(gate, i),
qubits=[i],
parameters=parameters))
elif gate == 'cx':
for (qubit1, qubit2) in list(
itertools.combinations(range(self.n_qubits), 2)):
gates.append(
Gate(gate=gate,
name="{gate}{q1}_{q2}".format(gate=gate,
q1=qubit1,
q2=qubit2),
qubits=[qubit1, qubit2],
parameters=parameters))
else:
raise QiskitError(
"{gate} is not supported by fake backend builder."
"".format(gate=gate))
return BackendProperties(backend_name=self.name,
backend_version=self.version,
last_update_date=self.now,
qubits=qubits,
gates=gates,
general=[])
def __init__(self):
mock_time = datetime.datetime.now()
dt = 1.3333
configuration = BackendProperties(
backend_name="invalid_t2",
backend_version="0.0.0",
num_qubits=1,
basis_gates=["u3"],
qubits=[
[
Nduv(date=mock_time, name="T1", unit="µs", value=t1_ns/1000),
Nduv(date=mock_time, name="T2", unit="µs", value=invalid_t2_ns/1000),
Nduv(date=mock_time, name="frequency", unit="MHz", value=frequency),
],
],
gates=[
Gate(
gate="u3",
name="u3_0",
qubits=[0],
parameters=[
Nduv(date=mock_time, name="gate_error", unit="", value=0.001),
Nduv(date=mock_time, name="gate_length", unit="ns", value=u3_time_ns),
],
),
],
last_update_date=mock_time,
general=[],
)
super().__init__(configuration)
def _parse_backend_properties(backend_properties, backend, num_circuits):
# try getting backend_properties from user, else backend
if backend_properties is None:
if getattr(backend, 'properties', None):
backend_properties = backend.properties()
if backend_properties and \
(backend_properties.faulty_qubits() or backend_properties.faulty_gates()):
faulty_qubits = sorted(backend_properties.faulty_qubits(), reverse=True)
faulty_edges = [gates.qubits for gates in backend_properties.faulty_gates()]
# remove faulty qubits in backend_properties.qubits
for faulty_qubit in faulty_qubits:
del backend_properties.qubits[faulty_qubit]
gates = []
for gate in backend_properties.gates:
# remove gates using faulty edges or with faulty qubits (and remap the
# gates in terms of faulty_qubits_map)
faulty_qubits_map = _create_faulty_qubits_map(backend)
if any(faulty_qubits_map[qubits] is not None for qubits in gate.qubits) or \
gate.qubits in faulty_edges:
continue
gate_dict = gate.to_dict()
replacement_gate = Gate.from_dict(gate_dict)
gate_dict['qubits'] = [faulty_qubits_map[qubit] for qubit in gate.qubits]
args = '_'.join([str(qubit) for qubit in gate_dict['qubits']])
gate_dict['name'] = "%s%s" % (gate_dict['gate'], args)
gates.append(replacement_gate)
backend_properties.gates = gates
if not isinstance(backend_properties, list):
backend_properties = [backend_properties] * num_circuits
return backend_properties
def __init__(self):
"""
0
"""
mock_time = datetime.datetime.now()
dt = 1.3333 # pylint: disable=invalid-name
configuration = BackendProperties(
backend_name='fake_1q',
backend_version='0.0.0',
n_qubits=1,
basis_gates=['u1', 'u2', 'u3', 'cx'],
simulator=False,
local=True,
conditional=False,
memory=False,
max_shots=1024,
qubits=[
[Nduv(date=mock_time, name='T1', unit='µs', value=71.9500421005539),
Nduv(date=mock_time, name='frequency', unit='MHz', value=4919.96800692)]
],
gates=[
Gate(gate='u1', name='u1_0', qubits=[0],
parameters=[
Nduv(date=mock_time, name='gate_error', unit='', value=1.0),
Nduv(date=mock_time, name='gate_length', unit='ns', value=0.)]),
Gate(gate='u3', name='u3_0', qubits=[0],
parameters=[
Nduv(date=mock_time, name='gate_error', unit='', value=1.0),
Nduv(date=mock_time, name='gate_length', unit='ns', value=2 * dt)]),
Gate(gate='u3', name='u3_1', qubits=[1],
parameters=[
Nduv(date=mock_time, name='gate_error', unit='', value=1.0),
Nduv(date=mock_time, name='gate_length', unit='ns', value=4 * dt)]),
Gate(gate='cx', name='cx0_1', qubits=[0, 1],
parameters=[
Nduv(date=mock_time, name='gate_error', unit='', value=1.0),
Nduv(date=mock_time, name='gate_length', unit='ns', value=22 * dt)]),
],
coupling_map=None,
n_registers=1,
last_update_date=mock_time,
general=[]
)
super().__init__(configuration)
def test_initialize_backend_prop():
circ_list = [random_circuit(2, 2) for _ in range(10)]
dag_list = [circuit_to_dag(circ) for circ in circ_list]
calib_time = datetime(year=2019, month=2, day=1,
hour=0, minute=0, second=0, tzinfo=timezone.utc)
qubit_list = []
ro_errors = [0.01, 0.01, 0.01]
for ro_error in ro_errors:
qubit_list.append(make_qubit_with_error(ro_error))
p01 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.9)]
g01 = Gate(name="CX0_1", gate="cx", parameters=p01, qubits=[0, 1])
p12 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
g12 = Gate(name="CX1_2", gate="cx", parameters=p12, qubits=[1, 2])
gate_list = [g01, g12]
bprop = BackendProperties(last_update_date=calib_time, backend_name="test_backend",
qubits=qubit_list, backend_version="1.0.0", gates=gate_list,
general=[])
caml = CrosstalkAdaptiveMultiLayout(bprop)
caml._initialize_backend_prop()
def _parse_backend_properties(backend_properties, backend, num_circuits):
# try getting backend_properties from user, else backend
if backend_properties is None:
backend_version = getattr(backend, "version", None)
if not isinstance(backend_version, int):
backend_version = 0
if backend_version <= 1:
if getattr(backend, "properties", None):
backend_properties = backend.properties()
if backend_properties and (backend_properties.faulty_qubits()
or
backend_properties.faulty_gates()):
faulty_qubits = sorted(backend_properties.faulty_qubits(),
reverse=True)
faulty_edges = [
gates.qubits
for gates in backend_properties.faulty_gates()
]
# remove faulty qubits in backend_properties.qubits
for faulty_qubit in faulty_qubits:
del backend_properties.qubits[faulty_qubit]
gates = []
for gate in backend_properties.gates:
# remove gates using faulty edges or with faulty qubits (and remap the
# gates in terms of faulty_qubits_map)
faulty_qubits_map = _create_faulty_qubits_map(backend)
if (any(faulty_qubits_map[qubits] is not None
for qubits in gate.qubits)
or gate.qubits in faulty_edges):
continue
gate_dict = gate.to_dict()
replacement_gate = Gate.from_dict(gate_dict)
gate_dict["qubits"] = [
faulty_qubits_map[qubit] for qubit in gate.qubits
]
args = "_".join(
[str(qubit) for qubit in gate_dict["qubits"]])
gate_dict["name"] = "{}{}".format(
gate_dict["gate"], args)
gates.append(replacement_gate)
backend_properties.gates = gates
else:
backend_properties = _target_to_backend_properties(backend.target)
if not isinstance(backend_properties, list):
backend_properties = [backend_properties] * num_circuits
return backend_properties
def test_grid_layout(self):
"""
Test that the mapper identifies best location for a star-like program graph
Machine row1: (0, 1, 2)
Machine row2: (3, 4, 5)
"""
calib_time = datetime(year=2019,
month=2,
day=1,
hour=0,
minute=0,
second=0)
qr = QuantumRegister(4, name='q')
circuit = QuantumCircuit(qr)
circuit.cx(qr[0], qr[3])
circuit.cx(qr[1], qr[3])
circuit.cx(qr[2], qr[3])
dag = circuit_to_dag(circuit)
qubit_list = []
ro_errors = [0.01] * 6
for ro_error in ro_errors:
qubit_list.append(make_qubit_with_error(ro_error))
p01 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.3)]
p03 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.3)]
p12 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.3)]
p14 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
p34 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
p45 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
p25 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.3)]
g01 = Gate(name="CX0_1", gate="cx", parameters=p01, qubits=[0, 1])
g03 = Gate(name="CX0_3", gate="cx", parameters=p03, qubits=[0, 3])
g12 = Gate(name="CX1_2", gate="cx", parameters=p12, qubits=[1, 2])
g14 = Gate(name="CX1_4", gate="cx", parameters=p14, qubits=[1, 4])
g34 = Gate(name="CX3_4", gate="cx", parameters=p34, qubits=[3, 4])
g45 = Gate(name="CX4_5", gate="cx", parameters=p45, qubits=[4, 5])
g25 = Gate(name="CX2_5", gate="cx", parameters=p25, qubits=[2, 5])
gate_list = [g01, g03, g12, g14, g34, g45, g25]
bprop = BackendProperties(last_update_date=calib_time,
backend_name="test_backend",
qubits=qubit_list,
backend_version="1.0.0",
gates=gate_list,
general=[])
nalayout = NoiseAdaptiveLayout(bprop)
nalayout.run(dag)
initial_layout = nalayout.property_set['layout']
for qid in range(4):
for qloc in [0, 2]:
self.assertNotEqual(initial_layout[qr[qid]], qloc)
def test_run_with_Xtalk():
calib_time = datetime(year=2019, month=2, day=1,
hour=0, minute=0, second=0, tzinfo=timezone.utc)
qubit_list = []
ro_errors = [0.01]*6
for ro_error in ro_errors:
qubit_list.append(make_qubit_with_error(ro_error))
p01 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
p03 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.3)]
p12 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.3)]
p14 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.2)]
p35 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.3)]
p45 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
p25 = [Nduv(date=calib_time, name='gate_error', unit='', value=0.1)]
g01 = Gate(name="CX0_1", gate="cx", parameters=p01, qubits=[0, 1])
g03 = Gate(name="CX0_3", gate="cx", parameters=p03, qubits=[0, 3])
g12 = Gate(name="CX1_2", gate="cx", parameters=p12, qubits=[1, 2])
g14 = Gate(name="CX1_4", gate="cx", parameters=p14, qubits=[1, 4])
g35 = Gate(name="CX3_5", gate="cx", parameters=p35, qubits=[3, 5])
g45 = Gate(name="CX4_5", gate="cx", parameters=p45, qubits=[4, 5])
g25 = Gate(name="CX2_5", gate="cx", parameters=p25, qubits=[2, 5])
gate_list = [g01, g03, g12, g14, g35, g45, g25]
bprop = BackendProperties(
last_update_date=calib_time, backend_name="test_backend",
qubits=qubit_list, backend_version="1.0.0", gates=gate_list,
general=[])
xtalk_prop = {(2, 5): {(0, 1): 5},
(1, 0): {(2, 5): 5},
}
circ = random_circuit(6, 3, measure=True, seed=1)
circ = decompose_to_base_gates(circ)
print(circ)
dag = circuit_to_dag(circ)
caml_noXtalk = CrosstalkAdaptiveMultiLayout(bprop)
caml_noXtalk.run(dag)
pprint(caml_noXtalk.property_set['layout'])
caml_Xtalk = CrosstalkAdaptiveMultiLayout(bprop, crosstalk_prop=xtalk_prop)
caml_Xtalk.run(dag)
pprint(caml_Xtalk.property_set['layout'])
def create_fake_machine():
"""Create a 6 qubit machine to test crosstalk adaptive schedules"""
calib_time = datetime(year=2019,
month=2,
day=1,
hour=0,
minute=0,
second=0)
qubit_list = []
for _ in range(6):
qubit_list.append(make_noisy_qubit())
cx01 = [
Nduv(date=calib_time, name='gate_error', unit='', value=0.05),
Nduv(date=calib_time, name='gate_length', unit='ns', value=500.0)
]
cx12 = [
Nduv(date=calib_time, name='gate_error', unit='', value=0.05),
Nduv(date=calib_time, name='gate_length', unit='ns', value=501.0)
]
cx23 = [
Nduv(date=calib_time, name='gate_error', unit='', value=0.05),
Nduv(date=calib_time, name='gate_length', unit='ns', value=502.0)
]
cx34 = [
Nduv(date=calib_time, name='gate_error', unit='', value=0.05),
Nduv(date=calib_time, name='gate_length', unit='ns', value=503.0)
]
cx45 = [
Nduv(date=calib_time, name='gate_error', unit='', value=0.05),
Nduv(date=calib_time, name='gate_length', unit='ns', value=504.0)
]
gcx01 = Gate(name="CX0_1", gate="cx", parameters=cx01, qubits=[0, 1])
gcx12 = Gate(name="CX1_2", gate="cx", parameters=cx12, qubits=[1, 2])
gcx23 = Gate(name="CX2_3", gate="cx", parameters=cx23, qubits=[2, 3])
gcx34 = Gate(name="CX3_4", gate="cx", parameters=cx34, qubits=[3, 4])
gcx45 = Gate(name="CX4_5", gate="cx", parameters=cx45, qubits=[4, 5])
u_1 = [
Nduv(date=calib_time, name='gate_error', unit='', value=0.001),
Nduv(date=calib_time, name='gate_length', unit='ns', value=100.0)
]
gu10 = Gate(name="u1_0", gate="u1", parameters=u_1, qubits=[0])
gu11 = Gate(name="u1_1", gate="u1", parameters=u_1, qubits=[1])
gu12 = Gate(name="u1_2", gate="u1", parameters=u_1, qubits=[2])
gu13 = Gate(name="u1_3", gate="u1", parameters=u_1, qubits=[3])
gu14 = Gate(name="u1_4", gate="u1", parameters=u_1, qubits=[4])
gu15 = Gate(name="u1_4", gate="u1", parameters=u_1, qubits=[5])
u_2 = [
Nduv(date=calib_time, name='gate_error', unit='', value=0.001),
Nduv(date=calib_time, name='gate_length', unit='ns', value=100.0)
]
gu20 = Gate(name="u2_0", gate="u2", parameters=u_2, qubits=[0])
gu21 = Gate(name="u2_1", gate="u2", parameters=u_2, qubits=[1])
gu22 = Gate(name="u2_2", gate="u2", parameters=u_2, qubits=[2])
gu23 = Gate(name="u2_3", gate="u2", parameters=u_2, qubits=[3])
gu24 = Gate(name="u2_4", gate="u2", parameters=u_2, qubits=[4])
gu25 = Gate(name="u2_4", gate="u2", parameters=u_2, qubits=[5])
u_3 = [
Nduv(date=calib_time, name='gate_error', unit='', value=0.001),
Nduv(date=calib_time, name='gate_length', unit='ns', value=100.0)
]
gu30 = Gate(name="u3_0", gate="u3", parameters=u_3, qubits=[0])
gu31 = Gate(name="u3_1", gate="u3", parameters=u_3, qubits=[1])
gu32 = Gate(name="u3_2", gate="u3", parameters=u_3, qubits=[2])
gu33 = Gate(name="u3_3", gate="u3", parameters=u_3, qubits=[3])
gu34 = Gate(name="u3_4", gate="u3", parameters=u_3, qubits=[4])
gu35 = Gate(name="u3_5", gate="u3", parameters=u_3, qubits=[5])
gate_list = [
gcx01, gcx12, gcx23, gcx34, gcx45, gu10, gu11, gu12, gu13, gu14, gu15,
gu20, gu21, gu22, gu23, gu24, gu25, gu30, gu31, gu32, gu33, gu34, gu35
]
bprop = BackendProperties(last_update_date=calib_time,
backend_name="test_backend",
qubits=qubit_list,
backend_version="1.0.0",
gates=gate_list,
general=[])
return bprop
def __init__(self):
"""
0
"""
mock_time = datetime.datetime.now()
dt = 1.3333
configuration = BackendProperties(
backend_name="fake_1q",
backend_version="0.0.0",
n_qubits=1,
basis_gates=["u1", "u2", "u3", "cx"],
simulator=False,
local=True,
conditional=False,
memory=False,
max_shots=1024,
qubits=[[
Nduv(date=mock_time,
name="T1",
unit="µs",
value=71.9500421005539),
Nduv(date=mock_time,
name="frequency",
unit="MHz",
value=4919.96800692),
]],
gates=[
Gate(
gate="u1",
name="u1_0",
qubits=[0],
parameters=[
Nduv(date=mock_time,
name="gate_error",
unit="",
value=1.0),
Nduv(date=mock_time,
name="gate_length",
unit="ns",
value=0.0),
],
),
Gate(
gate="u3",
name="u3_0",
qubits=[0],
parameters=[
Nduv(date=mock_time,
name="gate_error",
unit="",
value=1.0),
Nduv(date=mock_time,
name="gate_length",
unit="ns",
value=2 * dt),
],
),
Gate(
gate="u3",
name="u3_1",
qubits=[1],
parameters=[
Nduv(date=mock_time,
name="gate_error",
unit="",
value=1.0),
Nduv(date=mock_time,
name="gate_length",
unit="ns",
value=4 * dt),
],
),
Gate(
gate="cx",
name="cx0_1",
qubits=[0, 1],
parameters=[
Nduv(date=mock_time,
name="gate_error",
unit="",
value=1.0),
Nduv(date=mock_time,
name="gate_length",
unit="ns",
value=22 * dt),
],
),
],
coupling_map=None,
n_registers=1,
last_update_date=mock_time,
general=[],
)
super().__init__(configuration)
def __init__(self):
configuration = PulseBackendConfiguration(
backend_name="fake_openpulse_2q",
backend_version="0.0.0",
n_qubits=2,
meas_levels=[0, 1, 2],
basis_gates=["u1", "u2", "u3", "cx", "id"],
simulator=False,
local=True,
conditional=True,
open_pulse=True,
memory=False,
max_shots=65536,
gates=[GateConfig(name="TODO", parameters=[], qasm_def="TODO")],
coupling_map=[[0, 1]],
n_registers=2,
n_uchannels=2,
u_channel_lo=[
[UchannelLO(q=0, scale=1.0 + 0.0j)],
[
UchannelLO(q=0, scale=-1.0 + 0.0j),
UchannelLO(q=1, scale=1.0 + 0.0j)
],
],
qubit_lo_range=[[4.5, 5.5], [4.5, 5.5]],
meas_lo_range=[[6.0, 7.0], [6.0, 7.0]],
dt=1.3333,
dtm=10.5,
rep_times=[100, 250, 500, 1000],
meas_map=[[0, 1]],
channel_bandwidth=[
[-0.2, 0.4],
[-0.3, 0.3],
[-0.3, 0.3],
[-0.02, 0.02],
[-0.02, 0.02],
[-0.02, 0.02],
],
meas_kernels=["kernel1"],
discriminators=["max_1Q_fidelity"],
acquisition_latency=[[100, 100], [100, 100]],
conditional_latency=[
[100, 1000],
[1000, 100],
[100, 1000],
[1000, 100],
[100, 1000],
[1000, 100],
],
hamiltonian={
"h_str": [
"np.pi*(2*v0-alpha0)*O0",
"np.pi*alpha0*O0*O0",
"2*np.pi*r*X0||D0",
"2*np.pi*r*X0||U1",
"2*np.pi*r*X1||U0",
"np.pi*(2*v1-alpha1)*O1",
"np.pi*alpha1*O1*O1",
"2*np.pi*r*X1||D1",
"2*np.pi*j*(Sp0*Sm1+Sm0*Sp1)",
],
"description":
"A hamiltonian for a mocked 2Q device, with 1Q and 2Q terms.",
"qub": {
"0": 3,
"1": 3
},
"vars": {
"v0": 5.00,
"v1": 5.1,
"j": 0.01,
"r": 0.02,
"alpha0": -0.33,
"alpha1": -0.33,
},
},
channels={
"acquire0": {
"operates": {
"qubits": [0]
},
"purpose": "acquire",
"type": "acquire"
},
"acquire1": {
"operates": {
"qubits": [1]
},
"purpose": "acquire",
"type": "acquire"
},
"d0": {
"operates": {
"qubits": [0]
},
"purpose": "drive",
"type": "drive"
},
"d1": {
"operates": {
"qubits": [1]
},
"purpose": "drive",
"type": "drive"
},
"m0": {
"type": "measure",
"purpose": "measure",
"operates": {
"qubits": [0]
}
},
"m1": {
"type": "measure",
"purpose": "measure",
"operates": {
"qubits": [1]
}
},
"u0": {
"operates": {
"qubits": [0, 1]
},
"purpose": "cross-resonance",
"type": "control",
},
"u1": {
"operates": {
"qubits": [1, 0]
},
"purpose": "cross-resonance",
"type": "control",
},
},
processor_type={
"family": "Canary",
"revision": "1.0",
"segment": "A",
},
)
self._defaults = PulseDefaults.from_dict({
"qubit_freq_est": [4.9, 5.0],
"meas_freq_est": [6.5, 6.6],
"buffer":
10,
"pulse_library": [
{
"name": "x90p_d0",
"samples": 2 * [0.1 + 0j]
},
{
"name": "x90p_d1",
"samples": 2 * [0.1 + 0j]
},
{
"name": "x90m_d0",
"samples": 2 * [-0.1 + 0j]
},
{
"name": "x90m_d1",
"samples": 2 * [-0.1 + 0j]
},
{
"name": "y90p_d0",
"samples": 2 * [0.1j]
},
{
"name": "y90p_d1",
"samples": 2 * [0.1j]
},
{
"name": "xp_d0",
"samples": 2 * [0.2 + 0j]
},
{
"name": "ym_d0",
"samples": 2 * [-0.2j]
},
{
"name": "cr90p_u0",
"samples": 9 * [0.1 + 0j]
},
{
"name": "cr90m_u0",
"samples": 9 * [-0.1 + 0j]
},
{
"name": "measure_m0",
"samples": 10 * [0.1 + 0j]
},
{
"name": "measure_m1",
"samples": 10 * [0.1 + 0j]
},
],
"cmd_def": [
Command.from_dict({
"name":
"u1",
"qubits": [0],
"sequence": [
PulseQobjInstruction(name="fc",
ch="d0",
t0=0,
phase="-P0").to_dict()
],
}).to_dict(),
Command.from_dict({
"name":
"u1",
"qubits": [1],
"sequence": [
PulseQobjInstruction(name="fc",
ch="d1",
t0=0,
phase="-P0").to_dict()
],
}).to_dict(),
Command.from_dict({
"name":
"u2",
"qubits": [0],
"sequence": [
PulseQobjInstruction(name="fc",
ch="d0",
t0=0,
phase="-P1").to_dict(),
PulseQobjInstruction(name="y90p_d0", ch="d0",
t0=0).to_dict(),
PulseQobjInstruction(name="fc",
ch="d0",
t0=2,
phase="-P0").to_dict(),
],
}).to_dict(),
Command.from_dict({
"name":
"u2",
"qubits": [1],
"sequence": [
PulseQobjInstruction(name="fc",
ch="d1",
t0=0,
phase="-P1").to_dict(),
PulseQobjInstruction(name="y90p_d1", ch="d1",
t0=0).to_dict(),
PulseQobjInstruction(name="fc",
ch="d1",
t0=2,
phase="-P0").to_dict(),
],
}).to_dict(),
Command.from_dict({
"name":
"u3",
"qubits": [0],
"sequence": [
PulseQobjInstruction(name="fc",
ch="d0",
t0=0,
phase="-P2").to_dict(),
PulseQobjInstruction(name="x90p_d0", ch="d0",
t0=0).to_dict(),
PulseQobjInstruction(name="fc",
ch="d0",
t0=2,
phase="-P0").to_dict(),
PulseQobjInstruction(name="x90m_d0", ch="d0",
t0=2).to_dict(),
PulseQobjInstruction(name="fc",
ch="d0",
t0=4,
phase="-P1").to_dict(),
],
}).to_dict(),
Command.from_dict({
"name":
"u3",
"qubits": [1],
"sequence": [
PulseQobjInstruction(name="fc",
ch="d1",
t0=0,
phase="-P2").to_dict(),
PulseQobjInstruction(name="x90p_d1", ch="d1",
t0=0).to_dict(),
PulseQobjInstruction(name="fc",
ch="d1",
t0=2,
phase="-P0").to_dict(),
PulseQobjInstruction(name="x90m_d1", ch="d1",
t0=2).to_dict(),
PulseQobjInstruction(name="fc",
ch="d1",
t0=4,
phase="-P1").to_dict(),
],
}).to_dict(),
Command.from_dict({
"name":
"cx",
"qubits": [0, 1],
"sequence": [
PulseQobjInstruction(name="fc",
ch="d0",
t0=0,
phase=1.57).to_dict(),
PulseQobjInstruction(name="ym_d0", ch="d0",
t0=0).to_dict(),
PulseQobjInstruction(name="xp_d0", ch="d0",
t0=11).to_dict(),
PulseQobjInstruction(name="x90p_d1", ch="d1",
t0=0).to_dict(),
PulseQobjInstruction(name="cr90p_u0", ch="u0",
t0=2).to_dict(),
PulseQobjInstruction(name="cr90m_u0", ch="u0",
t0=13).to_dict(),
],
}).to_dict(),
Command.from_dict({
"name":
"measure",
"qubits": [0, 1],
"sequence": [
PulseQobjInstruction(name="measure_m0", ch="m0",
t0=0).to_dict(),
PulseQobjInstruction(name="measure_m1", ch="m1",
t0=0).to_dict(),
PulseQobjInstruction(
name="acquire",
duration=10,
t0=0,
qubits=[0, 1],
memory_slot=[0, 1],
).to_dict(),
],
}).to_dict(),
],
})
mock_time = datetime.datetime.now()
dt = 1.3333
self._properties = BackendProperties(
backend_name="fake_openpulse_2q",
backend_version="0.0.0",
last_update_date=mock_time,
qubits=[
[
Nduv(date=mock_time,
name="T1",
unit="µs",
value=71.9500421005539),
Nduv(date=mock_time,
name="T2",
unit="µs",
value=69.4240447362455),
Nduv(date=mock_time,
name="frequency",
unit="MHz",
value=4919.96800692),
Nduv(date=mock_time,
name="readout_error",
unit="",
value=0.02),
],
[
Nduv(date=mock_time,
name="T1",
unit="µs",
value=81.9500421005539),
Nduv(date=mock_time,
name="T2",
unit="µs",
value=75.5598482446578),
Nduv(date=mock_time,
name="frequency",
unit="GHz",
value=5.01996800692),
Nduv(date=mock_time,
name="readout_error",
unit="",
value=0.02),
],
],
gates=[
Gate(
gate="u1",
qubits=[0],
parameters=[
Nduv(date=mock_time,
name="gate_error",
unit="",
value=0.06),
Nduv(date=mock_time,
name="gate_length",
unit="ns",
value=0.0),
],
),
Gate(
gate="u3",
qubits=[0],
parameters=[
Nduv(date=mock_time,
name="gate_error",
unit="",
value=0.06),
Nduv(date=mock_time,
name="gate_length",
unit="ns",
value=2 * dt),
],
),
Gate(
gate="u3",
qubits=[1],
parameters=[
Nduv(date=mock_time,
name="gate_error",
unit="",
value=0.06),
Nduv(date=mock_time,
name="gate_length",
unit="ns",
value=4 * dt),
],
),
Gate(
gate="cx",
qubits=[0, 1],
parameters=[
Nduv(date=mock_time,
name="gate_error",
unit="",
value=1.0),
Nduv(date=mock_time,
name="gate_length",
unit="ns",
value=22 * dt),
],
),
],
general=[],
)
super().__init__(configuration)
def __init__(self):
configuration = PulseBackendConfiguration(
backend_name='fake_openpulse_2q',
backend_version='0.0.0',
n_qubits=2,
meas_levels=[0, 1, 2],
basis_gates=['u1', 'u2', 'u3', 'cx', 'id'],
simulator=False,
local=True,
conditional=True,
open_pulse=True,
memory=False,
max_shots=65536,
gates=[GateConfig(name='TODO', parameters=[], qasm_def='TODO')],
coupling_map=[[0, 1]],
n_registers=2,
n_uchannels=2,
u_channel_lo=[
[UchannelLO(q=0, scale=1. + 0.j)],
[UchannelLO(q=0, scale=-1. + 0.j), UchannelLO(q=1, scale=1. + 0.j)]
],
qubit_lo_range=[[4.5, 5.5], [4.5, 5.5]],
meas_lo_range=[[6.0, 7.0], [6.0, 7.0]],
dt=1.3333,
dtm=10.5,
rep_times=[100, 250, 500, 1000],
meas_map=[[0, 1]],
channel_bandwidth=[
[-0.2, 0.4], [-0.3, 0.3], [-0.3, 0.3],
[-0.02, 0.02], [-0.02, 0.02], [-0.02, 0.02]
],
meas_kernels=['kernel1'],
discriminators=['max_1Q_fidelity'],
acquisition_latency=[[100, 100], [100, 100]],
conditional_latency=[
[100, 1000], [1000, 100], [100, 1000],
[1000, 100], [100, 1000], [1000, 100]
],
hamiltonian={
'h_str': ["np.pi*(2*v0-alpha0)*O0", "np.pi*alpha0*O0*O0", "2*np.pi*r*X0||D0",
"2*np.pi*r*X0||U1", "2*np.pi*r*X1||U0", "np.pi*(2*v1-alpha1)*O1",
"np.pi*alpha1*O1*O1", "2*np.pi*r*X1||D1", "2*np.pi*j*(Sp0*Sm1+Sm0*Sp1)"],
'description': "A hamiltonian for a mocked 2Q device, with 1Q and 2Q terms.",
'qub': {'0': 3, '1': 3},
'vars': {'v0': 5.00,
'v1': 5.1,
'j': 0.01,
'r': 0.02,
'alpha0': -0.33,
'alpha1': -0.33}
},
channels={
'acquire0': {
'operates': {'qubits': [0]},
'purpose': 'acquire',
'type': 'acquire'
},
'acquire1': {
'operates': {'qubits': [1]},
'purpose': 'acquire',
'type': 'acquire'
},
'd0': {
'operates': {'qubits': [0]},
'purpose': 'drive',
'type': 'drive'
},
'd1': {
'operates': {'qubits': [1]},
'purpose': 'drive',
'type': 'drive'
},
'm0': {
'type': 'measure',
'purpose': 'measure',
'operates': {'qubits': [0]}
},
'm1': {
'type': 'measure',
'purpose': 'measure',
'operates': {'qubits': [1]}
},
'u0': {
'operates': {'qubits': [0, 1]},
'purpose': 'cross-resonance',
'type': 'control'
},
'u1': {
'operates': {'qubits': [1, 0]},
'purpose': 'cross-resonance',
'type': 'control'
}
}
)
self._defaults = PulseDefaults.from_dict({
'qubit_freq_est': [4.9, 5.0],
'meas_freq_est': [6.5, 6.6],
'buffer': 10,
'pulse_library': [
{
'name': 'test_pulse_1',
'samples': [[0.0, 0.0], [0.0, 0.1]]
},
{
'name': 'test_pulse_2',
'samples': [[0.0, 0.0], [0.0, 0.1], [0.0, 1.0]]
},
{
'name': 'test_pulse_3',
'samples': [[0.0, 0.0], [0.0, 0.1], [0.0, 1.0], [0.5, 0.0]]
},
{
'name': 'test_pulse_4',
'samples': 7 * [
[0.0, 0.0], [0.0, 0.1], [0.0, 1.0], [0.5, 0.0]
]
}
],
'cmd_def': [
Command.from_dict({
'name': 'u1',
'qubits': [0],
'sequence': [
PulseQobjInstruction(name='fc', ch='d0',
t0=0, phase='-P0').to_dict()
]}).to_dict(),
Command.from_dict({
'name': 'u1',
'qubits': [1],
'sequence': [
PulseQobjInstruction(name='fc', ch='d1',
t0=0, phase='-P0').to_dict()
]}).to_dict(),
Command.from_dict({
'name': 'u2',
'qubits': [0],
'sequence': [
PulseQobjInstruction(name='fc', ch='d0',
t0=0,
phase='-P1').to_dict(),
PulseQobjInstruction(name='test_pulse_4', ch='d0',
t0=0).to_dict(),
PulseQobjInstruction(name='fc', ch='d0', t0=0,
phase='-P0').to_dict()
]}).to_dict(),
Command.from_dict({
'name': 'u2',
'qubits': [1],
'sequence': [
PulseQobjInstruction(name='fc', ch='d1', t0=0,
phase='-P1').to_dict(),
PulseQobjInstruction(name='test_pulse_4',
ch='d1', t0=0).to_dict(),
PulseQobjInstruction(name='fc', ch='d1',
t0=0, phase='-P0').to_dict()
]}).to_dict(),
Command.from_dict({
'name': 'u3',
'qubits': [0],
'sequence': [
PulseQobjInstruction(name='test_pulse_1', ch='d0',
t0=0).to_dict()
]}).to_dict(),
Command.from_dict({
'name': 'u3',
'qubits': [1],
'sequence': [
PulseQobjInstruction(name='test_pulse_3', ch='d1',
t0=0).to_dict()
]}).to_dict(),
Command.from_dict({
'name': 'cx',
'qubits': [0, 1],
'sequence': [
PulseQobjInstruction(name='test_pulse_1', ch='d0',
t0=0).to_dict(),
PulseQobjInstruction(name='test_pulse_2', ch='u0',
t0=10).to_dict(),
PulseQobjInstruction(name='test_pulse_1', ch='d1',
t0=20).to_dict(),
PulseQobjInstruction(name='fc', ch='d1',
t0=20, phase=2.1).to_dict()
]}).to_dict(),
Command.from_dict({
'name': 'ParametrizedGate',
'qubits': [0, 1],
'sequence': [
PulseQobjInstruction(name='test_pulse_1', ch='d0',
t0=0).to_dict(),
PulseQobjInstruction(name='test_pulse_2', ch='u0',
t0=10).to_dict(),
PulseQobjInstruction(name='pv', ch='d1',
t0=2, val='cos(P2)').to_dict(),
PulseQobjInstruction(name='test_pulse_1', ch='d1',
t0=20).to_dict(),
PulseQobjInstruction(name='fc', ch='d1',
t0=20, phase=2.1).to_dict()
]}).to_dict(),
Command.from_dict({
'name': 'measure',
'qubits': [0, 1],
'sequence': [
PulseQobjInstruction(name='test_pulse_1', ch='m0',
t0=0).to_dict(),
PulseQobjInstruction(name='test_pulse_1', ch='m1',
t0=0).to_dict(),
PulseQobjInstruction(name='acquire', duration=10, t0=0,
qubits=[0, 1],
memory_slot=[0, 1]).to_dict()
]}).to_dict()
]
})
mock_time = datetime.datetime.now()
dt = 1.3333 # pylint: disable=invalid-name
self._properties = BackendProperties(
backend_name='fake_openpulse_2q',
backend_version='0.0.0',
last_update_date=mock_time,
qubits=[
[Nduv(date=mock_time, name='T1', unit='µs', value=71.9500421005539),
Nduv(date=mock_time, name='frequency', unit='MHz', value=4919.96800692)],
[Nduv(date=mock_time, name='T1', unit='µs', value=81.9500421005539),
Nduv(date=mock_time, name='frequency', unit='GHz', value=5.01996800692)]
],
gates=[
Gate(gate='u1', qubits=[0],
parameters=[
Nduv(date=mock_time, name='gate_error', unit='', value=0.06),
Nduv(date=mock_time, name='gate_length', unit='ns', value=0.)]),
Gate(gate='u3', qubits=[0],
parameters=[
Nduv(date=mock_time, name='gate_error', unit='', value=0.06),
Nduv(date=mock_time, name='gate_length', unit='ns', value=2 * dt)]),
Gate(gate='u3', qubits=[1],
parameters=[
Nduv(date=mock_time, name='gate_error', unit='', value=0.06),
Nduv(date=mock_time, name='gate_length', unit='ns', value=4 * dt)]),
Gate(gate='cx', qubits=[0, 1],
parameters=[
Nduv(date=mock_time, name='gate_error', unit='', value=1.0),
Nduv(date=mock_time, name='gate_length', unit='ns', value=22 * dt)]),
],
general=[]
)
super().__init__(configuration)
def __init__(self):
configuration = PulseBackendConfiguration(
backend_name='fake_openpulse_2q',
backend_version='0.0.0',
n_qubits=2,
meas_levels=[0, 1, 2],
basis_gates=['u1', 'u2', 'u3', 'cx', 'id'],
simulator=False,
local=True,
conditional=True,
open_pulse=True,
memory=False,
max_shots=65536,
gates=[GateConfig(name='TODO', parameters=[], qasm_def='TODO')],
coupling_map=[[0, 1]],
n_registers=2,
n_uchannels=2,
u_channel_lo=[[UchannelLO(q=0, scale=1. + 0.j)],
[
UchannelLO(q=0, scale=-1. + 0.j),
UchannelLO(q=1, scale=1. + 0.j)
]],
meas_level=[1, 2],
qubit_lo_range=[[4.5, 5.5], [4.5, 5.5]],
meas_lo_range=[[6.0, 7.0], [6.0, 7.0]],
dt=1.3333,
dtm=10.5,
rep_times=[100, 250, 500, 1000],
meas_map=[[0, 1]],
channel_bandwidth=[[-0.2, 0.4], [-0.3, 0.3], [-0.3, 0.3],
[-0.02, 0.02], [-0.02, 0.02], [-0.02, 0.02]],
meas_kernels=['kernel1'],
discriminators=['max_1Q_fidelity'],
acquisition_latency=[[100, 100], [100, 100]],
conditional_latency=[[100, 1000], [1000, 100], [100, 1000],
[1000, 100], [100, 1000], [1000, 100]])
self._defaults = PulseDefaults(
qubit_freq_est=[4.9, 5.0],
meas_freq_est=[6.5, 6.6],
buffer=10,
pulse_library=[
PulseLibraryItem(name='test_pulse_1', samples=[0.j, 0.1j]),
PulseLibraryItem(name='test_pulse_2', samples=[0.j, 0.1j, 1j]),
PulseLibraryItem(name='test_pulse_3',
samples=[0.j, 0.1j, 1j, 0.5 + 0j]),
PulseLibraryItem(name='test_pulse_4',
samples=7 * [0.j, 0.1j, 1j, 0.5 + 0j])
],
cmd_def=[
Command(name='u1',
qubits=[0],
sequence=[
PulseQobjInstruction(name='fc',
ch='d0',
t0=0,
phase='-P1*np.pi')
]),
Command(name='u1',
qubits=[1],
sequence=[
PulseQobjInstruction(name='fc',
ch='d1',
t0=0,
phase='-P1*np.pi')
]),
Command(name='u2',
qubits=[0],
sequence=[
PulseQobjInstruction(name='fc',
ch='d0',
t0=0,
phase='-P0*np.pi'),
PulseQobjInstruction(name='test_pulse_4',
ch='d0',
t0=0),
PulseQobjInstruction(name='fc',
ch='d0',
t0=0,
phase='-P1*np.pi')
]),
Command(name='u2',
qubits=[1],
sequence=[
PulseQobjInstruction(name='fc',
ch='d1',
t0=0,
phase='-P0*np.pi'),
PulseQobjInstruction(name='test_pulse_4',
ch='d1',
t0=0),
PulseQobjInstruction(name='fc',
ch='d1',
t0=0,
phase='-P0*np.pi')
]),
Command(name='u3',
qubits=[0],
sequence=[
PulseQobjInstruction(name='test_pulse_1',
ch='d0',
t0=0)
]),
Command(name='u3',
qubits=[1],
sequence=[
PulseQobjInstruction(name='test_pulse_3',
ch='d1',
t0=0)
]),
Command(name='cx',
qubits=[0, 1],
sequence=[
PulseQobjInstruction(name='test_pulse_1',
ch='d0',
t0=0),
PulseQobjInstruction(name='test_pulse_2',
ch='u0',
t0=10),
PulseQobjInstruction(name='test_pulse_1',
ch='d1',
t0=20),
PulseQobjInstruction(name='fc',
ch='d1',
t0=20,
phase=2.1)
]),
Command(name='ParametrizedGate',
qubits=[0, 1],
sequence=[
PulseQobjInstruction(name='test_pulse_1',
ch='d0',
t0=0),
PulseQobjInstruction(name='test_pulse_2',
ch='u0',
t0=10),
PulseQobjInstruction(name='pv',
ch='d1',
t0=2,
val='cos(P2)'),
PulseQobjInstruction(name='test_pulse_1',
ch='d1',
t0=20),
PulseQobjInstruction(name='fc',
ch='d1',
t0=20,
phase=2.1)
]),
Command(name='measure',
qubits=[0, 1],
sequence=[
PulseQobjInstruction(name='test_pulse_1',
ch='m0',
t0=0),
PulseQobjInstruction(name='test_pulse_1',
ch='m1',
t0=0),
PulseQobjInstruction(name='acquire',
duration=10,
t0=0,
qubits=[0, 1],
memory_slot=[0, 1])
])
])
mock_time = datetime.datetime.now()
dt = 1.3333 # pylint: disable=invalid-name
self._properties = BackendProperties(
backend_name='fake_openpulse_2q',
backend_version='0.0.0',
last_update_date=mock_time,
qubits=[[
Nduv(date=mock_time,
name='T1',
unit='µs',
value=71.9500421005539),
Nduv(date=mock_time,
name='frequency',
unit='MHz',
value=4919.96800692)
],
[
Nduv(date=mock_time,
name='T1',
unit='µs',
value=81.9500421005539),
Nduv(date=mock_time,
name='frequency',
unit='GHz',
value=5.01996800692)
]],
gates=[
Gate(gate='u1',
name='u1_0',
qubits=[0],
parameters=[
Nduv(date=mock_time,
name='gate_error',
unit='',
value=1.0),
Nduv(date=mock_time,
name='gate_length',
unit='ns',
value=0.)
]),
Gate(gate='u3',
name='u3_0',
qubits=[0],
parameters=[
Nduv(date=mock_time,
name='gate_error',
unit='',
value=1.0),
Nduv(date=mock_time,
name='gate_length',
unit='ns',
value=2 * dt)
]),
Gate(gate='u3',
name='u3_1',
qubits=[1],
parameters=[
Nduv(date=mock_time,
name='gate_error',
unit='',
value=1.0),
Nduv(date=mock_time,
name='gate_length',
unit='ns',
value=4 * dt)
]),
Gate(gate='cx',
name='cx0_1',
qubits=[0, 1],
parameters=[
Nduv(date=mock_time,
name='gate_error',
unit='',
value=1.0),
Nduv(date=mock_time,
name='gate_length',
unit='ns',
value=22 * dt)
]),
],
general=[])
super().__init__(configuration)
