def test_snapshot_instruction_from_dict(self):
"""Test snapshot instruction from dict."""
expected_qobj = QasmQobj(
qobj_id='12345',
header=QobjHeader(),
config=QasmQobjConfig(shots=1024, memory_slots=2, max_credits=10),
experiments=[
QasmQobjExperiment(instructions=[
QasmQobjInstruction(name='u1', qubits=[1], params=[0.4]),
QasmQobjInstruction(name='u2', qubits=[1], params=[0.4, 0.2]),
QasmQobjInstruction(name='snapshot', qubits=[1],
snapshot_type='statevector',
label='my_snap')
])
]
)
qobj_dict = {
'qobj_id': '12345',
'type': 'QASM',
'schema_version': '1.1.0',
'header': {},
'config': {'max_credits': 10, 'memory_slots': 2, 'shots': 1024},
'experiments': [
{'instructions': [
{'name': 'u1', 'params': [0.4], 'qubits': [1]},
{'name': 'u2', 'params': [0.4, 0.2], 'qubits': [1]},
{'name': 'snapshot', 'qubits': [1],
'snapshot_type': 'statevector', 'label': 'my_snap'}
]}
],
}
self.assertEqual(expected_qobj, QasmQobj.from_dict(qobj_dict))
def setUp(self):
self.valid_qobj = QasmQobj(
qobj_id='12345',
header=QobjHeader(),
config=QasmQobjConfig(shots=1024, memory_slots=2, max_credits=10),
experiments=[
QasmQobjExperiment(instructions=[
QasmQobjInstruction(name='u1', qubits=[1], params=[0.4]),
QasmQobjInstruction(name='u2', qubits=[1], params=[0.4, 0.2])
])
]
)
self.valid_dict = {
'qobj_id': '12345',
'type': 'QASM',
'schema_version': '1.1.0',
'header': {},
'config': {'max_credits': 10, 'memory_slots': 2, 'shots': 1024},
'experiments': [
{'instructions': [
{'name': 'u1', 'params': [0.4], 'qubits': [1]},
{'name': 'u2', 'params': [0.4, 0.2], 'qubits': [1]}
]}
],
}
self.bad_qobj = copy.deepcopy(self.valid_qobj)
self.bad_qobj.experiments = []
def run_histogram_test(self, single_experiment, mock_result1, mock_result2,
expected_histogram, expected_histogram_prob,
expected_memory):
self.mock_api.set(mock_result1, mock_result2)
jobs = self._basic_job_dictionary
measurements = QuantumInspireBackend._collect_measurements(
QasmQobjExperiment.from_dict(single_experiment))
user_data = {
'name': 'name',
'memory_slots': 2,
'creg_sizes': [['c1', 2]],
'measurements': measurements
}
jobs['user_data'] = json.dumps(user_data)
self.mock_api.get_jobs_from_project.return_value = [jobs]
job = QIJob('backend', '42', self.mock_api)
result = self.simulator.get_experiment_results_from_all_jobs(job)
number_of_shots = jobs['number_of_shots']
self.assertEqual(1, len(result))
first_experiment = first_item(result)
actual = first_experiment.data.counts
self.assertDictEqual(expected_histogram, actual)
probabilities = first_experiment.data.probabilities
self.assertTrue(
len(expected_histogram_prob.keys() - probabilities.keys()) == 0)
for key in set(probabilities.keys()) & set(
expected_histogram_prob.keys()):
self.assertTrue(
np.isclose(expected_histogram_prob[key], probabilities[key]))
self.assertTrue(len(first_experiment.data.memory) == number_of_shots)
self.assertListEqual(expected_memory, first_experiment.data.memory)
def test_from_dict_per_class(self):
"""Test Qobj and its subclass representations given a dictionary."""
test_parameters = {
QasmQobj: (self.valid_qobj, self.valid_dict),
QasmQobjConfig: (QasmQobjConfig(shots=1, memory_slots=2), {
'shots': 1,
'memory_slots': 2
}),
QasmQobjExperiment: (QasmQobjExperiment(instructions=[
QasmQobjInstruction(name='u1', qubits=[1], params=[0.4])
]), {
'instructions': [{
'name': 'u1',
'qubits': [1],
'params': [0.4]
}]
}),
QasmQobjInstruction: (QasmQobjInstruction(name='u1',
qubits=[1],
params=[0.4]), {
'name': 'u1',
'qubits': [1],
'params': [0.4]
})
}
for qobj_class, (qobj_item, expected_dict) in test_parameters.items():
with self.subTest(msg=str(qobj_class)):
self.assertEqual(qobj_item,
qobj_class.from_dict(expected_dict))
def _configure_experiment_los(
experiments: List[QasmQobjExperiment],
lo_converter: converters.LoConfigConverter,
run_config: RunConfig,
):
# get per experiment los
freq_configs = [lo_converter(lo_dict) for lo_dict in getattr(run_config, "schedule_los", [])]
if len(experiments) > 1 and len(freq_configs) not in [0, 1, len(experiments)]:
raise QiskitError(
"Invalid 'schedule_los' setting specified. If specified, it should be "
"either have a single entry to apply the same LOs for each experiment or "
"have length equal to the number of experiments."
)
if len(freq_configs) > 1:
if len(experiments) > 1:
for idx, expt in enumerate(experiments):
freq_config = freq_configs[idx]
expt.config.qubit_lo_freq = freq_config.qubit_lo_freq
expt.config.meas_lo_freq = freq_config.meas_lo_freq
elif len(experiments) == 1:
expt = experiments[0]
experiments = []
for freq_config in freq_configs:
expt_config = copy.deepcopy(expt.config)
expt_config.qubit_lo_freq = freq_config.qubit_lo_freq
expt_config.meas_lo_freq = freq_config.meas_lo_freq
experiments.append(
QasmQobjExperiment(
header=expt.header, instructions=expt.instructions, config=expt_config
)
)
return experiments
def test_snapshot_instruction_to_dict(self):
"""Test snapshot instruction to dict."""
valid_qobj = QasmQobj(
qobj_id="12345",
header=QobjHeader(),
config=QasmQobjConfig(shots=1024, memory_slots=2, max_credits=10),
experiments=[
QasmQobjExperiment(instructions=[
QasmQobjInstruction(name="u1", qubits=[1], params=[0.4]),
QasmQobjInstruction(
name="u2", qubits=[1], params=[0.4, 0.2]),
QasmQobjInstruction(
name="snapshot",
qubits=[1],
snapshot_type="statevector",
label="my_snap",
),
])
],
)
res = valid_qobj.to_dict()
expected_dict = {
"qobj_id":
"12345",
"type":
"QASM",
"schema_version":
"1.3.0",
"header": {},
"config": {
"max_credits": 10,
"memory_slots": 2,
"shots": 1024
},
"experiments": [{
"instructions": [
{
"name": "u1",
"params": [0.4],
"qubits": [1]
},
{
"name": "u2",
"params": [0.4, 0.2],
"qubits": [1]
},
{
"name": "snapshot",
"qubits": [1],
"snapshot_type": "statevector",
"label": "my_snap",
},
],
"config": {},
"header": {},
}],
}
self.assertEqual(expected_dict, res)
def __init__(self):
qobj_id = "test_id"
config = QasmQobjConfig(shots=1024, memory_slots=1)
header = QobjHeader(backend_name=FakeQasmSimulator().name())
experiments = [
QasmQobjExperiment(
instructions=[QasmQobjInstruction(name="barrier", qubits=[1])],
header=QobjExperimentHeader(),
config=QasmQobjExperimentConfig(seed=123456),
)
]
super().__init__(qobj_id=qobj_id, config=config, experiments=experiments, header=header)
def new_fake_qobj():
"""Create fake `Qobj` and backend instances."""
backend = FakeQasmSimulator()
return QasmQobj(
qobj_id='test-id',
config=QasmQobjConfig(shots=1024, memory_slots=1, max_credits=100),
header=QobjHeader(backend_name=backend.name()),
experiments=[
QasmQobjExperiment(
instructions=[QasmQobjInstruction(name='barrier', qubits=[1])],
header=QobjExperimentHeader(),
config=QasmQobjExperimentConfig(seed_simulator=123456))
])
def setUp(self):
super().setUp()
self.valid_qobj = QasmQobj(
qobj_id="12345",
header=QobjHeader(),
config=QasmQobjConfig(shots=1024, memory_slots=2, max_credits=10),
experiments=[
QasmQobjExperiment(instructions=[
QasmQobjInstruction(name="u1", qubits=[1], params=[0.4]),
QasmQobjInstruction(
name="u2", qubits=[1], params=[0.4, 0.2]),
])
],
)
self.valid_dict = {
"qobj_id":
"12345",
"type":
"QASM",
"schema_version":
"1.2.0",
"header": {},
"config": {
"max_credits": 10,
"memory_slots": 2,
"shots": 1024
},
"experiments": [{
"instructions": [
{
"name": "u1",
"params": [0.4],
"qubits": [1]
},
{
"name": "u2",
"params": [0.4, 0.2],
"qubits": [1]
},
]
}],
}
self.bad_qobj = copy.deepcopy(self.valid_qobj)
self.bad_qobj.experiments = []
def test_map_measurements(self):
counts = Counter()
counts.update({'0000': 10})
counts.update({'0101': 3})
counts.update({'1111': 7})
counts.update({'0101': 5})
counts.update({'1110': 1})
counts.update({'1000': 2}) # move to 01 -> 10
qasm_experiment = QasmQobjExperiment(instructions=[
QasmQobjInstruction(name='measure', qubits=[0], memory=[1]),
QasmQobjInstruction(name='measure', qubits=[2], memory=[0])
])
new_counts = map_measurements(counts, qasm_experiment)
self.assertIn('00', new_counts)
self.assertIn('10', new_counts)
self.assertIn('11', new_counts)
self.assertEqual(new_counts['00'], 10 + 3 + 5)
self.assertEqual(new_counts['11'], 7 + 1)
self.assertEqual(new_counts['10'], 2)
def test_from_dict_per_class(self):
"""Test Qobj and its subclass representations given a dictionary."""
test_parameters = {
QasmQobj: (self.valid_qobj, self.valid_dict),
QasmQobjConfig: (
QasmQobjConfig(shots=1, memory_slots=2),
{
"shots": 1,
"memory_slots": 2
},
),
QasmQobjExperiment: (
QasmQobjExperiment(instructions=[
QasmQobjInstruction(name="u1", qubits=[1], params=[0.4])
]),
{
"instructions": [{
"name": "u1",
"qubits": [1],
"params": [0.4]
}]
},
),
QasmQobjInstruction: (
QasmQobjInstruction(name="u1", qubits=[1], params=[0.4]),
{
"name": "u1",
"qubits": [1],
"params": [0.4]
},
),
}
for qobj_class, (qobj_item, expected_dict) in test_parameters.items():
with self.subTest(msg=str(qobj_class)):
self.assertEqual(qobj_item,
qobj_class.from_dict(expected_dict))
def assemble_circuits(circuits,
qobj_id=None,
qobj_header=None,
run_config=None):
"""Assembles a list of circuits into a qobj which can be run on the backend.
Args:
circuits (list[QuantumCircuits]): circuit(s) to assemble
qobj_id (int): identifier for the generated qobj
qobj_header (QobjHeader): header to pass to the results
run_config (RunConfig): configuration of the runtime environment
Returns:
QasmQobj: the Qobj to be run on the backends
"""
qobj_config = QasmQobjConfig()
if run_config:
qobj_config = QasmQobjConfig(**run_config.to_dict())
# Pack everything into the Qobj
experiments = []
max_n_qubits = 0
max_memory_slots = 0
for circuit in circuits:
# header stuff
n_qubits = 0
memory_slots = 0
qubit_labels = []
clbit_labels = []
qreg_sizes = []
creg_sizes = []
for qreg in circuit.qregs:
qreg_sizes.append([qreg.name, qreg.size])
for j in range(qreg.size):
qubit_labels.append([qreg.name, j])
n_qubits += qreg.size
for creg in circuit.cregs:
creg_sizes.append([creg.name, creg.size])
for j in range(creg.size):
clbit_labels.append([creg.name, j])
memory_slots += creg.size
# TODO: why do we need creq_sizes and qreg_sizes in header
# TODO: we need to rethink memory_slots as they are tied to classical bit
experimentheader = QobjExperimentHeader(qubit_labels=qubit_labels,
n_qubits=n_qubits,
qreg_sizes=qreg_sizes,
clbit_labels=clbit_labels,
memory_slots=memory_slots,
creg_sizes=creg_sizes,
name=circuit.name)
# TODO: why do we need n_qubits and memory_slots in both the header and the config
experimentconfig = QasmQobjExperimentConfig(n_qubits=n_qubits,
memory_slots=memory_slots)
# Convert conditionals from QASM-style (creg ?= int) to qobj-style
# (register_bit ?= 1), by assuming device has unlimited register slots
# (supported only for simulators). Map all measures to a register matching
# their clbit_index, create a new register slot for every conditional gate
# and add a bfunc to map the creg=val mask onto the gating register bit.
is_conditional_experiment = any(op.control
for (op, qargs, cargs) in circuit.data)
max_conditional_idx = 0
instructions = []
for op_context in circuit.data:
instruction = op_context[0].assemble()
# Add register attributes to the instruction
qargs = op_context[1]
cargs = op_context[2]
if qargs:
qubit_indices = [
qubit_labels.index([qubit[0].name, qubit[1]])
for qubit in qargs
]
instruction.qubits = qubit_indices
if cargs:
clbit_indices = [
clbit_labels.index([clbit[0].name, clbit[1]])
for clbit in cargs
]
instruction.memory = clbit_indices
# If the experiment has conditional instructions, assume every
# measurement result may be needed for a conditional gate.
if instruction.name == "measure" and is_conditional_experiment:
instruction.register = clbit_indices
# To convert to a qobj-style conditional, insert a bfunc prior
# to the conditional instruction to map the creg ?= val condition
# onto a gating register bit.
if hasattr(instruction, '_control'):
ctrl_reg, ctrl_val = instruction._control
mask = 0
val = 0
for clbit in clbit_labels:
if clbit[0] == ctrl_reg.name:
mask |= (1 << clbit_labels.index(clbit))
val |= (((ctrl_val >> clbit[1]) & 1) <<
clbit_labels.index(clbit))
conditional_reg_idx = memory_slots + max_conditional_idx
conversion_bfunc = QasmQobjInstruction(
name='bfunc',
mask="0x%X" % mask,
relation='==',
val="0x%X" % val,
register=conditional_reg_idx)
instructions.append(conversion_bfunc)
instruction.conditional = conditional_reg_idx
max_conditional_idx += 1
# Delete control attribute now that we have replaced it with
# the conditional and bfuc
del instruction._control
instructions.append(instruction)
experiments.append(
QasmQobjExperiment(instructions=instructions,
header=experimentheader,
config=experimentconfig))
if n_qubits > max_n_qubits:
max_n_qubits = n_qubits
if memory_slots > max_memory_slots:
max_memory_slots = memory_slots
qobj_config.memory_slots = max_memory_slots
qobj_config.n_qubits = max_n_qubits
return QasmQobj(qobj_id=qobj_id,
config=qobj_config,
experiments=experiments,
header=qobj_header)
def assemble_circuits(circuits, run_config=None, qobj_header=None, qobj_id=None):
"""Assembles a list of circuits into a qobj which can be run on the backend.
Args:
circuits (list[QuantumCircuits] or QuantumCircuit): circuits to assemble
run_config (RunConfig): RunConfig object
qobj_header (QobjHeader): header to pass to the results
qobj_id (int): identifier for the generated qobj
Returns:
QasmQobj: the Qobj to be run on the backends
"""
qobj_header = qobj_header or QobjHeader()
run_config = run_config or RunConfig()
if isinstance(circuits, QuantumCircuit):
circuits = [circuits]
userconfig = QasmQobjConfig(**run_config.to_dict())
experiments = []
max_n_qubits = 0
max_memory_slots = 0
for circuit in circuits:
# header stuff
n_qubits = 0
memory_slots = 0
qubit_labels = []
clbit_labels = []
qreg_sizes = []
creg_sizes = []
for qreg in circuit.qregs:
qreg_sizes.append([qreg.name, qreg.size])
for j in range(qreg.size):
qubit_labels.append([qreg.name, j])
n_qubits += qreg.size
for creg in circuit.cregs:
creg_sizes.append([creg.name, creg.size])
for j in range(creg.size):
clbit_labels.append([creg.name, j])
memory_slots += creg.size
# TODO: why do we need creq_sizes and qreg_sizes in header
# TODO: we need to rethink memory_slots as they are tied to classical bit
experimentheader = QobjExperimentHeader(qubit_labels=qubit_labels,
n_qubits=n_qubits,
qreg_sizes=qreg_sizes,
clbit_labels=clbit_labels,
memory_slots=memory_slots,
creg_sizes=creg_sizes,
name=circuit.name)
# TODO: why do we need n_qubits and memory_slots in both the header and the config
experimentconfig = QasmQobjExperimentConfig(n_qubits=n_qubits, memory_slots=memory_slots)
instructions = []
for op_context in circuit.data:
op = op_context[0]
qargs = op_context[1]
cargs = op_context[2]
current_instruction = QasmQobjInstruction(name=op.name)
if qargs:
qubit_indices = [qubit_labels.index([qubit[0].name, qubit[1]])
for qubit in qargs]
current_instruction.qubits = qubit_indices
if cargs:
clbit_indices = [clbit_labels.index([clbit[0].name, clbit[1]])
for clbit in cargs]
current_instruction.memory = clbit_indices
if op.params:
params = list(map(lambda x: x.evalf(), op.params))
params = [sympy.matrix2numpy(x, dtype=complex)
if isinstance(x, sympy.Matrix) else x for x in params]
if len(params) == 1 and isinstance(params[0], numpy.ndarray):
# TODO: Aer expects list of rows for unitary instruction params;
# change to matrix in Aer.
params = params[0]
current_instruction.params = params
# TODO: I really dont like this for snapshot. I also think we should change
# type to snap_type
if op.name == "snapshot":
current_instruction.label = str(op.params[0])
current_instruction.type = str(op.params[1])
if op.name == 'unitary':
if op._label:
current_instruction.label = op._label
if op.control:
mask = 0
for clbit in clbit_labels:
if clbit[0] == op.control[0].name:
mask |= (1 << clbit_labels.index(clbit))
current_instruction.conditional = QobjConditional(mask="0x%X" % mask,
type='equals',
val="0x%X" % op.control[1])
instructions.append(current_instruction)
experiments.append(QasmQobjExperiment(instructions=instructions, header=experimentheader,
config=experimentconfig))
if n_qubits > max_n_qubits:
max_n_qubits = n_qubits
if memory_slots > max_memory_slots:
max_memory_slots = memory_slots
userconfig.memory_slots = max_memory_slots
userconfig.n_qubits = max_n_qubits
return QasmQobj(qobj_id=qobj_id or str(uuid.uuid4()), config=userconfig,
experiments=experiments, header=qobj_header)
def test_gate_calibrations_to_dict(self):
"""Test gate calibrations to dict."""
pulse_library = [PulseLibraryItem(name='test', samples=[1j, 1j])]
valid_qobj = QasmQobj(
qobj_id='12345',
header=QobjHeader(),
config=QasmQobjConfig(shots=1024,
memory_slots=2,
max_credits=10,
pulse_library=pulse_library),
experiments=[
QasmQobjExperiment(
instructions=[
QasmQobjInstruction(name='u1',
qubits=[1],
params=[0.4])
],
config=QasmQobjConfig(
calibrations=QasmExperimentCalibrations(gates=[
GateCalibration(name='u1',
qubits=[1],
params=[0.4],
instructions=[])
])))
])
res = valid_qobj.to_dict(validate=True)
expected_dict = {
'qobj_id':
'12345',
'type':
'QASM',
'schema_version':
'1.3.0',
'header': {},
'config': {
'max_credits': 10,
'memory_slots': 2,
'shots': 1024,
'pulse_library': [{
'name': 'test',
'samples': [1j, 1j]
}]
},
'experiments': [{
'instructions': [{
'name': 'u1',
'params': [0.4],
'qubits': [1]
}],
'config': {
'calibrations': {
'gates': [{
'name': 'u1',
'qubits': [1],
'params': [0.4],
'instructions': []
}]
}
},
'header': {}
}],
}
self.assertEqual(expected_dict, res)
def _assemble_circuit(
circuit: QuantumCircuit, run_config: RunConfig
) -> Tuple[QasmQobjExperiment, Optional[PulseLibrary]]:
"""Assemble one circuit.
Args:
circuit: circuit to assemble
run_config: configuration of the runtime environment
Returns:
One experiment for the QasmQobj, and pulse library for pulse gates (which could be None)
Raises:
QiskitError: when the circuit has unit other than 'dt'.
"""
if circuit.unit != "dt":
raise QiskitError(
"Unable to assemble circuit with unit '{}', which must be 'dt'.".
format(circuit.unit))
# header data
num_qubits = 0
memory_slots = 0
qubit_labels = []
clbit_labels = []
qreg_sizes = []
creg_sizes = []
for qreg in circuit.qregs:
qreg_sizes.append([qreg.name, qreg.size])
for j in range(qreg.size):
qubit_labels.append([qreg.name, j])
num_qubits += qreg.size
for creg in circuit.cregs:
creg_sizes.append([creg.name, creg.size])
for j in range(creg.size):
clbit_labels.append([creg.name, j])
memory_slots += creg.size
qubit_indices = {qubit: idx for idx, qubit in enumerate(circuit.qubits)}
clbit_indices = {clbit: idx for idx, clbit in enumerate(circuit.clbits)}
# TODO: why do we need creq_sizes and qreg_sizes in header
# TODO: we need to rethink memory_slots as they are tied to classical bit
metadata = circuit.metadata
if metadata is None:
metadata = {}
header = QobjExperimentHeader(
qubit_labels=qubit_labels,
n_qubits=num_qubits,
qreg_sizes=qreg_sizes,
clbit_labels=clbit_labels,
memory_slots=memory_slots,
creg_sizes=creg_sizes,
name=circuit.name,
global_phase=float(circuit.global_phase),
metadata=metadata,
)
# TODO: why do we need n_qubits and memory_slots in both the header and the config
config = QasmQobjExperimentConfig(n_qubits=num_qubits,
memory_slots=memory_slots)
calibrations, pulse_library = _assemble_pulse_gates(circuit, run_config)
if calibrations:
config.calibrations = calibrations
# Convert conditionals from QASM-style (creg ?= int) to qobj-style
# (register_bit ?= 1), by assuming device has unlimited register slots
# (supported only for simulators). Map all measures to a register matching
# their clbit_index, create a new register slot for every conditional gate
# and add a bfunc to map the creg=val mask onto the gating register bit.
is_conditional_experiment = any(op.condition
for (op, qargs, cargs) in circuit.data)
max_conditional_idx = 0
instructions = []
for op_context in circuit.data:
instruction = op_context[0].assemble()
# Add register attributes to the instruction
qargs = op_context[1]
cargs = op_context[2]
if qargs:
instruction.qubits = [qubit_indices[qubit] for qubit in qargs]
if cargs:
instruction.memory = [clbit_indices[clbit] for clbit in cargs]
# If the experiment has conditional instructions, assume every
# measurement result may be needed for a conditional gate.
if instruction.name == "measure" and is_conditional_experiment:
instruction.register = [
clbit_indices[clbit] for clbit in cargs
]
# To convert to a qobj-style conditional, insert a bfunc prior
# to the conditional instruction to map the creg ?= val condition
# onto a gating register bit.
if hasattr(instruction, "_condition"):
ctrl_reg, ctrl_val = instruction._condition
mask = 0
val = 0
if isinstance(ctrl_reg, Clbit):
mask = 1 << clbit_indices[ctrl_reg]
val = (ctrl_val & 1) << clbit_indices[ctrl_reg]
else:
for clbit in clbit_indices:
if clbit in ctrl_reg:
mask |= 1 << clbit_indices[clbit]
val |= ((ctrl_val >> list(ctrl_reg).index(clbit))
& 1) << clbit_indices[clbit]
conditional_reg_idx = memory_slots + max_conditional_idx
conversion_bfunc = QasmQobjInstruction(
name="bfunc",
mask="0x%X" % mask,
relation="==",
val="0x%X" % val,
register=conditional_reg_idx,
)
instructions.append(conversion_bfunc)
instruction.conditional = conditional_reg_idx
max_conditional_idx += 1
# Delete condition attribute now that we have replaced it with
# the conditional and bfunc
del instruction._condition
instructions.append(instruction)
return (
QasmQobjExperiment(instructions=instructions,
header=header,
config=config),
pulse_library,
)
def _assemble_circuit(circuit):
# header stuff
num_qubits = 0
memory_slots = 0
qubit_labels = []
clbit_labels = []
qreg_sizes = []
creg_sizes = []
for qreg in circuit.qregs:
qreg_sizes.append([qreg.name, qreg.size])
for j in range(qreg.size):
qubit_labels.append([qreg.name, j])
num_qubits += qreg.size
for creg in circuit.cregs:
creg_sizes.append([creg.name, creg.size])
for j in range(creg.size):
clbit_labels.append([creg.name, j])
memory_slots += creg.size
# TODO: why do we need creq_sizes and qreg_sizes in header
# TODO: we need to rethink memory_slots as they are tied to classical bit
header = QobjExperimentHeader(qubit_labels=qubit_labels,
n_qubits=num_qubits,
qreg_sizes=qreg_sizes,
clbit_labels=clbit_labels,
memory_slots=memory_slots,
creg_sizes=creg_sizes,
name=circuit.name,
global_phase=circuit.global_phase)
# TODO: why do we need n_qubits and memory_slots in both the header and the config
config = QasmQobjExperimentConfig(n_qubits=num_qubits,
memory_slots=memory_slots)
# Convert conditionals from QASM-style (creg ?= int) to qobj-style
# (register_bit ?= 1), by assuming device has unlimited register slots
# (supported only for simulators). Map all measures to a register matching
# their clbit_index, create a new register slot for every conditional gate
# and add a bfunc to map the creg=val mask onto the gating register bit.
is_conditional_experiment = any(op.condition
for (op, qargs, cargs) in circuit.data)
max_conditional_idx = 0
instructions = []
for op_context in circuit.data:
instruction = op_context[0].assemble()
# Add register attributes to the instruction
qargs = op_context[1]
cargs = op_context[2]
if qargs:
qubit_indices = [
qubit_labels.index([qubit.register.name, qubit.index])
for qubit in qargs
]
instruction.qubits = qubit_indices
if cargs:
clbit_indices = [
clbit_labels.index([clbit.register.name, clbit.index])
for clbit in cargs
]
instruction.memory = clbit_indices
# If the experiment has conditional instructions, assume every
# measurement result may be needed for a conditional gate.
if instruction.name == "measure" and is_conditional_experiment:
instruction.register = clbit_indices
# To convert to a qobj-style conditional, insert a bfunc prior
# to the conditional instruction to map the creg ?= val condition
# onto a gating register bit.
if hasattr(instruction, '_condition'):
ctrl_reg, ctrl_val = instruction._condition
mask = 0
val = 0
for clbit in clbit_labels:
if clbit[0] == ctrl_reg.name:
mask |= (1 << clbit_labels.index(clbit))
val |= (((ctrl_val >> clbit[1]) & 1) <<
clbit_labels.index(clbit))
conditional_reg_idx = memory_slots + max_conditional_idx
conversion_bfunc = QasmQobjInstruction(
name='bfunc',
mask="0x%X" % mask,
relation='==',
val="0x%X" % val,
register=conditional_reg_idx)
instructions.append(conversion_bfunc)
instruction.conditional = conditional_reg_idx
max_conditional_idx += 1
# Delete condition attribute now that we have replaced it with
# the conditional and bfuc
del instruction._condition
instructions.append(instruction)
return QasmQobjExperiment(instructions=instructions,
header=header,
config=config)
def test_gate_calibrations_to_dict(self):
"""Test gate calibrations to dict."""
pulse_library = [PulseLibraryItem(name="test", samples=[1j, 1j])]
valid_qobj = QasmQobj(
qobj_id="12345",
header=QobjHeader(),
config=QasmQobjConfig(shots=1024,
memory_slots=2,
max_credits=10,
pulse_library=pulse_library),
experiments=[
QasmQobjExperiment(
instructions=[
QasmQobjInstruction(name="u1",
qubits=[1],
params=[0.4])
],
config=QasmQobjConfig(
calibrations=QasmExperimentCalibrations(gates=[
GateCalibration(name="u1",
qubits=[1],
params=[0.4],
instructions=[])
])),
)
],
)
res = valid_qobj.to_dict()
expected_dict = {
"qobj_id":
"12345",
"type":
"QASM",
"schema_version":
"1.3.0",
"header": {},
"config": {
"max_credits": 10,
"memory_slots": 2,
"shots": 1024,
"pulse_library": [{
"name": "test",
"samples": [1j, 1j]
}],
},
"experiments": [{
"instructions": [{
"name": "u1",
"params": [0.4],
"qubits": [1]
}],
"config": {
"calibrations": {
"gates": [{
"name": "u1",
"qubits": [1],
"params": [0.4],
"instructions": []
}]
}
},
"header": {},
}],
}
self.assertEqual(expected_dict, res)
def execute_one_qasm(self, buffer, program):
qobjStr = self.qobj_compiler.translate(program)
import json
from qiskit import Aer
from qiskit.qobj import (QasmQobj, QobjHeader, QasmQobjInstruction,
QasmQobjExperiment, QasmQobjExperimentConfig,
QobjExperimentHeader, QasmQobjConfig)
qobj_json = json.loads(qobjStr)
# Create the Experiments using qiskit data structures
exps = [
QasmQobjExperiment(
config=QasmQobjExperimentConfig(
memory_slots=e['config']['memory_slots'],
n_qubits=e['config']['n_qubits']),
header=QobjExperimentHeader(
clbit_labels=e['header']['clbit_labels'],
creg_sizes=e['header']['creg_sizes'],
memory_slots=e['header']['memory_slots'],
n_qubits=e['header']['n_qubits'],
name=e['header']['name'],
qreg_sizes=e['header']['qreg_sizes'],
qubit_labels=e['header']['qubit_labels']),
instructions=[
QasmQobjInstruction(
name=i['name'],
qubits=i['qubits'],
params=(i['params'] if 'params' in i else []))
if i['name'] != 'measure' else QasmQobjInstruction(
name=i['name'], qubits=i['qubits'], memory=i['memory'])
for i in e['instructions']
]) for e in qobj_json['qObject']['experiments']
]
qobj = QasmQobj(
qobj_id=qobj_json['qObject']['qobj_id'],
header=QobjHeader(),
config=QasmQobjConfig(
shots=self.shots,
memory_slots=qobj_json['qObject']['config']['memory_slots']),
experiments=exps,
shots=self.shots)
measures = {}
for i in exps[0].instructions:
if i.name == "measure":
measures[i.memory[0]] = i.qubits[0]
backend = Aer.get_backend('qasm_simulator')
if self.noise_model is not None:
job_sim = backend.run(qobj, noise_model=self.noise_model)
else:
job_sim = backend.run(qobj)
sim_result = job_sim.result()
for b, c in sim_result.get_counts().items():
bitstring = b
if len(b) < buffer.size():
tmp = ['0' for i in range(buffer.size())]
for bit_loc, qubit in measures.items():
tmp[len(tmp) - 1 - qubit] = list(b)[bit_loc]
bitstring = ''.join(tmp)
buffer.appendMeasurement(bitstring, c)
def assemble_circuits(circuits,
qobj_id=None,
qobj_header=None,
run_config=None):
"""Assembles a list of circuits into a qobj which can be run on the backend.
Args:
circuits (list[QuantumCircuits]): circuit(s) to assemble
qobj_id (int): identifier for the generated qobj
qobj_header (QobjHeader): header to pass to the results
run_config (RunConfig): configuration of the runtime environment
Returns:
QasmQobj: the Qobj to be run on the backends
"""
qobj_config = QasmQobjConfig()
if run_config:
qobj_config = QasmQobjConfig(**run_config.to_dict())
# Pack everything into the Qobj
experiments = []
max_n_qubits = 0
max_memory_slots = 0
for circuit in circuits:
# header stuff
n_qubits = 0
memory_slots = 0
qubit_labels = []
clbit_labels = []
qreg_sizes = []
creg_sizes = []
for qreg in circuit.qregs:
qreg_sizes.append([qreg.name, qreg.size])
for j in range(qreg.size):
qubit_labels.append([qreg.name, j])
n_qubits += qreg.size
for creg in circuit.cregs:
creg_sizes.append([creg.name, creg.size])
for j in range(creg.size):
clbit_labels.append([creg.name, j])
memory_slots += creg.size
# TODO: why do we need creq_sizes and qreg_sizes in header
# TODO: we need to rethink memory_slots as they are tied to classical bit
experimentheader = QobjExperimentHeader(qubit_labels=qubit_labels,
n_qubits=n_qubits,
qreg_sizes=qreg_sizes,
clbit_labels=clbit_labels,
memory_slots=memory_slots,
creg_sizes=creg_sizes,
name=circuit.name)
# TODO: why do we need n_qubits and memory_slots in both the header and the config
experimentconfig = QasmQobjExperimentConfig(n_qubits=n_qubits,
memory_slots=memory_slots)
# Convert conditionals from QASM-style (creg ?= int) to qobj-style
# (register_bit ?= 1), by assuming device has unlimited register slots
# (supported only for simulators). Map all measures to a register matching
# their clbit_index, create a new register slot for every conditional gate
# and add a bfunc to map the creg=val mask onto the gating register bit.
is_conditional_experiment = any(op.control
for (op, qargs, cargs) in circuit.data)
max_conditional_idx = 0
instructions = []
for op_context in circuit.data:
op = op_context[0]
qargs = op_context[1]
cargs = op_context[2]
current_instruction = QasmQobjInstruction(name=op.name)
if qargs:
qubit_indices = [
qubit_labels.index([qubit[0].name, qubit[1]])
for qubit in qargs
]
current_instruction.qubits = qubit_indices
if cargs:
clbit_indices = [
clbit_labels.index([clbit[0].name, clbit[1]])
for clbit in cargs
]
current_instruction.memory = clbit_indices
# If the experiment has conditional instructions, assume every
# measurement result may be needed for a conditional gate.
if op.name == "measure" and is_conditional_experiment:
current_instruction.register = clbit_indices
if op.params:
# Evalute Sympy parameters
params = [
x.evalf() if hasattr(x, 'evalf') else x for x in op.params
]
params = [
sympy.matrix2numpy(x, dtype=complex) if isinstance(
x, sympy.Matrix) else x for x in params
]
current_instruction.params = params
# TODO: I really dont like this for snapshot. I also think we should change
# type to snap_type
if op.name == 'snapshot':
current_instruction.label = str(op.params[0])
current_instruction.snapshot_type = str(op.params[1])
if op.name == 'unitary':
if op._label:
current_instruction.label = op._label
if op.control:
# To convert to a qobj-style conditional, insert a bfunc prior
# to the conditional instruction to map the creg ?= val condition
# onto a gating register bit.
mask = 0
val = 0
for clbit in clbit_labels:
if clbit[0] == op.control[0].name:
mask |= (1 << clbit_labels.index(clbit))
val |= (((op.control[1] >> clbit[1]) & 1) <<
clbit_labels.index(clbit))
conditional_reg_idx = memory_slots + max_conditional_idx
conversion_bfunc = QasmQobjInstruction(
name='bfunc',
mask="0x%X" % mask,
relation='==',
val="0x%X" % val,
register=conditional_reg_idx)
instructions.append(conversion_bfunc)
current_instruction.conditional = conditional_reg_idx
max_conditional_idx += 1
instructions.append(current_instruction)
experiments.append(
QasmQobjExperiment(instructions=instructions,
header=experimentheader,
config=experimentconfig))
if n_qubits > max_n_qubits:
max_n_qubits = n_qubits
if memory_slots > max_memory_slots:
max_memory_slots = memory_slots
qobj_config.memory_slots = max_memory_slots
qobj_config.n_qubits = max_n_qubits
return QasmQobj(qobj_id=qobj_id,
config=qobj_config,
experiments=experiments,
header=qobj_header)