Results
MENOSBackend.run returns a MENOSJob, and job.result() is a standard Qiskit qiskit.result.Result. Everything you know about that class applies.
What is in it
| Field | Value |
|---|---|
success | True for a completed job |
backend_name | "menos" |
backend_version | The installed package version |
job_id | A UUID string |
time_taken | Seconds spent executing and sampling |
get_counts() | Present when shots > 0 and the circuit measures |
get_statevector() | Present when want_statevector=True |
results[0].seed_simulator | The seed that was used, including a drawn one |
results[0].header | Circuit name, register sizes, global phase, metadata |
python
from qiskit import QuantumCircuit
from menos.qiskit import MENOSBackend
qc = QuantumCircuit(2, 2, name="bell")
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])
result = MENOSBackend().run(qc, shots=100, seed_simulator=4).result()
print(result.backend_name, result.results[0].seed_simulator, result.time_taken >= 0)
assert result.success
assert result.backend_name == "menos"
assert result.results[0].seed_simulator == 4
assert result.results[0].header["name"] == "bell"Counts and statevectors
See Counts and Statevectors.
The native Result
menos.run returns a different object, menos.Result, used by the native API:
| Property | Type | Meaning |
|---|---|---|
counts | dict[str, int] | Hexadecimal bitstring keys ("0x3") to counts |
statevector | numpy.ndarray or None | complex128 amplitudes |
expectation_value | complex or None | The expectation value, when one was requested |
exact | bool | True if nothing was approximated |
actual_state_bytes | int | Peak bytes the engine actually used |
execute_seconds | float | Time executing the successful attempt |
sample_seconds | float | Time drawing samples |
explain() | str | The plan report |
It has no plan or replans attribute in Python. The plan and any replans are reported through explain() only.
Exactness
exact is always True for anything reachable from Python. See Exactness.