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 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_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)