Results

Two result types exist, one per entry point.

Qiskit: qiskit.result.Result

Returned by MENOSJob.result(). Standard Qiskit.

Field	Content
success	True
backend_name, backend_version	"menos" and the package version
job_id	UUID
time_taken	Execute plus sample seconds
get_counts()	Binary-string keys, highest classical bit left
get_statevector()	Present when want_statevector=True
results[0].seed_simulator	The seed used
results[0].shots	The shot count
results[0].header	A dict: name, n_qubits, qreg_sizes, creg_sizes, qubit_labels, clbit_labels, memory_slots, global_phase, metadata

The statevector is a NumPy complex128 array of length 2ⁿ in little-endian index order.

Native: menos.Result

Returned by menos.run. See Python API for the full table.

Property	Type
counts	dict[str, int], hexadecimal keys
statevector	numpy.ndarray or None
expectation_value	complex or None
exact	bool
actual_state_bytes	int
execute_seconds, sample_seconds	float
explain()	str

Differences

	Qiskit Result	Native Result
Counts keys	Binary, register-aware	Hexadecimal
Plan report	Not available	explain()
Replans	Not available	In explain() text only
Expectation value	Via MENOSEstimator	expectation_value

Verification

from qiskit import QuantumCircuit

from menos import Circuit, Opcode, RunOptions, run
from menos.qiskit import MENOSBackend

qc = QuantumCircuit(2, 2)
qc.x(0)
qc.measure([0, 1], [0, 1])
qiskit_result = MENOSBackend().run(qc, shots=4, seed_simulator=1).result()
assert qiskit_result.get_counts() == {"01": 4}          # binary, highest bit left

native = Circuit(2, 2)
native.append(Opcode.X, [0])
native.append_measure(0, 0)
native.append_measure(1, 1)
options = RunOptions()
options.shots = 4
options.seed = 1
assert run(native, options).counts == {"0x1": 4}        # hexadecimal