def test_readout_error_correlated_2qubit(self):
"""Test a correlated two-qubit readout error"""
# Test circuit: prepare all plus state
qr = QuantumRegister(2, 'qr')
cr = ClassicalRegister(2, 'cr')
circuit = QuantumCircuit(qr, cr)
circuit.h(qr)
circuit.barrier(qr)
# We will manually add a correlated measure operation to
# the compiled qobj
backend = QasmSimulator()
# Correlated 2-qubit readout error
probs_given00 = [0.3, 0, 0, 0.7]
probs_given01 = [0, 0.6, 0.4, 0]
probs_given10 = [0, 0, 1, 0]
probs_given11 = [0.1, 0, 0, 0.9]
probs_noise = [
probs_given00, probs_given01, probs_given10, probs_given11
]
noise_model = NoiseModel()
noise_model.add_readout_error(probs_noise, [0, 1])
# Expected counts
shots = 2000
probs_ideal = [0.25, 0.25, 0.25, 0.25]
p00 = sum([
ideal * noise[0] for ideal, noise in zip(probs_ideal, probs_noise)
])
p01 = sum([
ideal * noise[1] for ideal, noise in zip(probs_ideal, probs_noise)
])
p10 = sum([
ideal * noise[2] for ideal, noise in zip(probs_ideal, probs_noise)
])
p11 = sum([
ideal * noise[3] for ideal, noise in zip(probs_ideal, probs_noise)
])
target = {
'0x0': p00 * shots,
'0x1': p01 * shots,
'0x2': p10 * shots,
'0x3': p11 * shots
}
qobj = compile([circuit],
backend,
shots=shots,
basis_gates=noise_model.basis_gates)
# Add measure to qobj
item = measure_instr([0, 1], [0, 1])
append_instr(qobj, 0, item)
# Execute
result = backend.run(qobj, noise_model=noise_model).result()
self.is_completed(result)
self.compare_counts(result, [circuit], [target], delta=0.05 * shots)
def _maybe_add_aer_expectation_instruction(qobj, options):
if 'expectation' in options:
from qiskit.providers.aer.utils.qobj_utils import snapshot_instr, append_instr, get_instr_pos
# add others, how to derive the correct used number of qubits?
# the compiled qobj could be wrong if coupling map is used.
params = options['expectation']['params']
num_qubits = options['expectation']['num_qubits']
for idx in range(len(qobj.experiments)):
# if mulitple params are provided, we assume that each circuit is corresponding one param
# otherwise, params are used for all circuits.
param_idx = idx if len(params) > 1 else 0
snapshot_pos = get_instr_pos(qobj, idx, 'snapshot')
if len(snapshot_pos) == 0: # does not append the instruction yet.
new_ins = snapshot_instr('expectation_value_pauli',
'test',
range(num_qubits),
params=params[param_idx])
qobj = append_instr(qobj, idx, new_ins)
else:
for i in snapshot_pos: # update all expectation_value_snapshot
if qobj.experiments[idx].instructions[
i].type == 'expectation_value_pauli':
qobj.experiments[idx].instructions[i].params = params[
param_idx]
return qobj
def maybe_add_aer_expectation_instruction(qobj, options):
"""
Add aer expectation instruction if `expectation` in the options.
Args:
qobj (QasmQobj): qobj
options (dict): the setting for aer expectation instruction
Returns:
QasmQobj: a mutated qobj with aer expectation instruction inserted
"""
if 'expectation' in options:
from qiskit.providers.aer.utils.qobj_utils \
import snapshot_instr, append_instr, get_instr_pos
# add others, how to derive the correct used number of qubits?
# the compiled qobj could be wrong if coupling map is used.
params = options['expectation']['params']
num_qubits = options['expectation']['num_qubits']
for idx in range(len(qobj.experiments)):
# if multiple params are provided, we assume
# that each circuit is corresponding one param
# otherwise, params are used for all circuits.
param_idx = idx if len(params) > 1 else 0
snapshot_pos = get_instr_pos(qobj, idx, 'snapshot')
if not snapshot_pos: # does not append the instruction yet.
new_ins = snapshot_instr('expectation_value_pauli', 'test',
list(range(num_qubits)), params=params[param_idx])
qobj = append_instr(qobj, idx, new_ins)
else:
for i in snapshot_pos: # update all expectation_value_snapshot
if qobj.experiments[idx].instructions[i].type == 'expectation_value_pauli':
qobj.experiments[idx].instructions[i].params = params[param_idx]
return qobj
def unitary_gate_circuits_real_deterministic(final_measure=True):
"""Unitary gate test circuits with deterministic count output."""
final_qobj = _dummy_qobj()
qr = QuantumRegister(2)
if final_measure:
cr = ClassicalRegister(2)
regs = (qr, cr)
else:
regs = (qr, )
x_mat = np.array([[0, 1], [1, 0]])
cx_mat = np.array([[1, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 1, 0, 0]])
# CX01, |00> state
circuit = QuantumCircuit(*regs)
circuit.barrier(qr)
qobj = assemble(circuit, QasmSimulator(), shots=1)
append_instr(qobj, 0, unitary_instr(cx_mat, [0, 1]))
if final_measure:
append_instr(qobj, 0, measure_instr([0], [0]))
append_instr(qobj, 0, measure_instr([1], [1]))
final_qobj.experiments.append(qobj.experiments[0])
# CX10, |00> state
circuit = QuantumCircuit(*regs)
circuit.barrier(qr)
qobj = assemble(circuit, QasmSimulator(), shots=1)
append_instr(qobj, 0, unitary_instr(cx_mat, [1, 0]))
if final_measure:
append_instr(qobj, 0, measure_instr([0], [0]))
append_instr(qobj, 0, measure_instr([1], [1]))
final_qobj.experiments.append(qobj.experiments[0])
# CX01.(X^I), |10> state
circuit = QuantumCircuit(*regs)
circuit.barrier(qr)
qobj = assemble(circuit, QasmSimulator(), shots=1)
append_instr(qobj, 0, unitary_instr(x_mat, [1]))
append_instr(qobj, 0, unitary_instr(cx_mat, [0, 1]))
if final_measure:
append_instr(qobj, 0, measure_instr([0], [0]))
append_instr(qobj, 0, measure_instr([1], [1]))
final_qobj.experiments.append(qobj.experiments[0])
# CX10.(I^X), |01> state
circuit = QuantumCircuit(*regs)
circuit.barrier(qr)
qobj = assemble(circuit, QasmSimulator(), shots=1)
append_instr(qobj, 0, unitary_instr(x_mat, [0]))
append_instr(qobj, 0, unitary_instr(cx_mat, [1, 0]))
if final_measure:
append_instr(qobj, 0, measure_instr([0], [0]))
append_instr(qobj, 0, measure_instr([1], [1]))
final_qobj.experiments.append(qobj.experiments[0])
# CX01.(I^X), |11> state
circuit = QuantumCircuit(*regs)
circuit.barrier(qr)
qobj = assemble(circuit, QasmSimulator(), shots=1)
append_instr(qobj, 0, unitary_instr(x_mat, [0]))
append_instr(qobj, 0, unitary_instr(cx_mat, [0, 1]))
if final_measure:
append_instr(qobj, 0, measure_instr([0], [0]))
append_instr(qobj, 0, measure_instr([1], [1]))
final_qobj.experiments.append(qobj.experiments[0])
# CX10.(X^I), |11> state
circuit = QuantumCircuit(*regs)
circuit.barrier(qr)
qobj = assemble(circuit, QasmSimulator(), shots=1)
append_instr(qobj, 0, unitary_instr(x_mat, [1]))
append_instr(qobj, 0, unitary_instr(cx_mat, [1, 0]))
if final_measure:
append_instr(qobj, 0, measure_instr([0], [0]))
append_instr(qobj, 0, measure_instr([1], [1]))
final_qobj.experiments.append(qobj.experiments[0])
return final_qobj
def compile_and_run_circuits(circuits,
backend,
backend_config,
compile_config,
run_config,
qjob_config=None,
backend_options=None,
noise_config=None,
show_circuit_summary=False,
has_shared_circuits=False,
circuit_cache=None,
skip_qobj_validation=False,
**kwargs):
"""
An execution wrapper with Qiskit-Terra, with job auto recover capability.
The autorecovery feature is only applied for non-simulator backend.
This wraper will try to get the result no matter how long it costs.
Args:
circuits (QuantumCircuit or list[QuantumCircuit]): circuits to execute
backend (BaseBackend): backend instance
backend_config (dict): configuration for backend
compile_config (dict): configuration for compilation
run_config (RunConfig): configuration for running a circuit
qjob_config (dict): configuration for quantum job object
backend_options (dict): configuration for simulator
noise_config (dict): configuration for noise model
show_circuit_summary (bool): showing the summary of submitted circuits.
has_shared_circuits (bool): use the 0-th circuits as initial state for other circuits.
Returns:
Result: Result object
Raises:
AquaError: Any error except for JobError raised by Qiskit Terra
"""
qjob_config = qjob_config or {}
backend_options = backend_options or {}
noise_config = noise_config or {}
if backend is None or not isinstance(backend, BaseBackend):
raise ValueError(
'Backend is missing or not an instance of BaseBackend')
if not isinstance(circuits, list):
circuits = [circuits]
if 'statevector' in backend.name():
circuits = _avoid_empty_circuits(circuits)
if has_shared_circuits:
return _reuse_shared_circuits(circuits, backend, backend_config,
compile_config, run_config, qjob_config,
backend_options)
with_autorecover = False if backend.configuration().simulator else True
if MAX_CIRCUITS_PER_JOB is not None:
max_circuits_per_job = int(MAX_CIRCUITS_PER_JOB)
else:
if backend.configuration().local:
max_circuits_per_job = sys.maxsize
else:
max_circuits_per_job = backend.configuration().max_experiments
if circuit_cache is not None and circuit_cache.try_reusing_qobjs:
# Check if all circuits are the same length. If not, don't try to use the same qobj.experiment for all of them.
if len(set([len(circ.data) for circ in circuits])) > 1:
circuit_cache.try_reusing_qobjs = False
else: # Try setting up the reusable qobj
# Compile and cache first circuit if cache is empty. The load method will try to reuse it
if circuit_cache.try_reusing_qobjs and circuit_cache.qobjs is None:
qobj = q_compile([circuits[0]], backend, **execute_config)
circuit_cache.cache_circuit(qobj, [circuits[0]], 0)
qobjs = []
jobs = []
job_ids = []
chunks = int(np.ceil(len(circuits) / max_circuits_per_job))
for i in range(chunks):
sub_circuits = circuits[i * max_circuits_per_job:(i + 1) *
max_circuits_per_job]
if circuit_cache is not None and circuit_cache.misses < circuit_cache.allowed_misses:
try:
qobj = circuit_cache.load_qobj_from_cache(
sub_circuits, i, run_config=run_config)
# cache miss, fail gracefully
except (TypeError, IndexError, FileNotFoundError, EOFError,
AquaError, AttributeError) as e:
circuit_cache.try_reusing_qobjs = False # Reusing Qobj didn't work
circuit_cache.clear_cache()
logger.debug(
'Circuit cache miss, recompiling. Cache miss reason: ' +
repr(e))
qobj = q_compile(sub_circuits, backend, **backend_config,
**compile_config, **run_config.to_dict())
circuit_cache.cache_circuit(qobj, sub_circuits, i)
circuit_cache.misses += 1
else:
qobj = q_compile(sub_circuits, backend, **backend_config,
**compile_config, **run_config.to_dict())
if 'expectation' in kwargs:
from qiskit.providers.aer.utils.qobj_utils import snapshot_instr, append_instr
# add others, how to derive the correct used number of qubits?
# the compiled qobj could be wrong if coupling map is used.
# if mulitple params are provided, we assume that each circuit is corresponding one param
# otherwise, params are used for all circuits.
params = kwargs['expectation']['params']
num_qubits = kwargs['expectation']['num_qubits']
if len(params) == 1:
new_ins = snapshot_instr('expectation_value_pauli',
'test',
range(num_qubits),
params=params[0])
for ii in range(len(sub_circuits)):
qobj = append_instr(qobj, ii, new_ins)
else:
for ii in range(len(sub_circuits)):
new_ins = snapshot_instr('expectation_value_pauli',
'test',
range(num_qubits),
params=params[ii])
qobj = append_instr(qobj, ii, new_ins)
# assure get job ids
while True:
job = run_on_backend(backend,
qobj,
backend_options=backend_options,
noise_config=noise_config,
skip_qobj_validation=skip_qobj_validation)
try:
job_id = job.job_id()
break
except JobError as e:
logger.warning(
"FAILURE: the {}-th chunk of circuits, can not get job id, "
"Resubmit the qobj to get job id. "
"Terra job error: {} ".format(i, e))
except Exception as e:
logger.warning(
"FAILURE: the {}-th chunk of circuits, can not get job id, "
"Resubmit the qobj to get job id. "
"Error: {} ".format(i, e))
job_ids.append(job_id)
jobs.append(job)
qobjs.append(qobj)
if logger.isEnabledFor(logging.DEBUG) and show_circuit_summary:
logger.debug(summarize_circuits(circuits))
results = []
if with_autorecover:
logger.info("Backend status: {}".format(backend.status()))
logger.info(
"There are {} circuits and they are chunked into {} chunks, "
"each with {} circutis (max.).".format(len(circuits), chunks,
max_circuits_per_job))
logger.info("All job ids:\n{}".format(job_ids))
for idx in range(len(jobs)):
while True:
job = jobs[idx]
job_id = job_ids[idx]
logger.info("Running {}-th chunk circuits, job id: {}".format(
idx, job_id))
# try to get result if possible
try:
result = job.result(**qjob_config)
if result.success:
results.append(result)
logger.info("COMPLETED the {}-th chunk of circuits, "
"job id: {}".format(idx, job_id))
break
else:
logger.warning("FAILURE: the {}-th chunk of circuits, "
"job id: {}".format(idx, job_id))
except JobError as e:
# if terra raise any error, which means something wrong, re-run it
logger.warning(
"FAILURE: the {}-th chunk of circuits, job id: {} "
"Terra job error: {} ".format(idx, job_id, e))
except Exception as e:
raise AquaError(
"FAILURE: the {}-th chunk of circuits, job id: {} "
"Unknown error: {} ".format(idx, job_id, e)) from e
# something wrong here, querying the status to check how to handle it.
# keep qeurying it until getting the status.
while True:
try:
job_status = job.status()
break
except JobError as e:
logger.warning("FAILURE: job id: {}, "
"status: 'FAIL_TO_GET_STATUS' "
"Terra job error: {}".format(job_id, e))
time.sleep(5)
except Exception as e:
raise AquaError("FAILURE: job id: {}, "
"status: 'FAIL_TO_GET_STATUS' "
"Unknown error: ({})".format(
job_id, e)) from e
logger.info("Job status: {}".format(job_status))
# handle the failure job based on job status
if job_status == JobStatus.DONE:
logger.info(
"Job ({}) is completed anyway, retrieve result "
"from backend.".format(job_id))
job = backend.retrieve_job(job_id)
elif job_status == JobStatus.RUNNING or job_status == JobStatus.QUEUED:
logger.info("Job ({}) is {}, but encounter an exception, "
"recover it from backend.".format(
job_id, job_status))
job = backend.retrieve_job(job_id)
else:
logger.info(
"Fail to run Job ({}), resubmit it.".format(job_id))
qobj = qobjs[idx]
# assure job get its id
while True:
job = run_on_backend(
backend,
qobj,
backend_options=backend_options,
noise_config=noise_config,
skip_qobj_validation=skip_qobj_validation)
try:
job_id = job.job_id()
break
except JobError as e:
logger.warning(
"FAILURE: the {}-th chunk of circuits, "
"can not get job id. Resubmit the qobj to get job id. "
"Terra job error: {} ".format(idx, e))
except Exception as e:
logger.warning(
"FAILURE: the {}-th chunk of circuits, "
"can not get job id, Resubmit the qobj to get job id. "
"Unknown error: {} ".format(idx, e))
jobs[idx] = job
job_ids[idx] = job_id
else:
results = []
for job in jobs:
results.append(job.result(**qjob_config))
result = _combine_result_objects(results) if len(results) != 0 else None
return result
