QAOAHistoryItem

class QAOAHistoryItem

Bases: Generic[SamplingMeta_co]

Record of a single objective function evaluation during QAOA optimization.

Methods

__init__

Attributes

timestamp	Elapsed time from the start of optimization to when this evaluation completed.
parameters	Circuit parameter values used in this evaluation.
objective	Objective value computed from the measurement results of this evaluation.
counts	Measurement results as a list of (spin_sequence, frequency) pairs.
sampling_durations	Per-call timing breakdown for the quantum circuit execution.
sampling_meta	Backend-specific metadata returned by the quantum job (e.g., job ID and circuit for Qiskit, or simulated circuit for Qulacs).

__eq__(other)

Return self==value.

__init__(

timestamp: timedelta,

parameters: Sequence[float],

objective: float,

counts: IsingSeqFreqList,

sampling_durations: SamplingDurations,

sampling_meta: SamplingMeta_co,

) → None

__repr__()

Return repr(self).

__dataclass_fields__ = {'counts': Field(name='counts',type='IsingSeqFreqList',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'objective': Field(name='objective',type='float',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'parameters': Field(name='parameters',type='Sequence[float]',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'sampling_durations': Field(name='sampling_durations',type='SamplingDurations',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'sampling_meta': Field(name='sampling_meta',type='SamplingMeta_co',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'timestamp': Field(name='timestamp',type='timedelta',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD)}

__dataclass_params__ = _DataclassParams(init=True,repr=True,eq=True,order=False,unsafe_hash=False,frozen=False)

__hash__ = None

__match_args__ = ('timestamp', 'parameters', 'objective', 'counts', 'sampling_durations', 'sampling_meta')

counts: IsingSeqFreqList

Measurement results as a list of (spin_sequence, frequency) pairs.

objective: float

Objective value computed from the measurement results of this evaluation.

parameters: Sequence[float]

Circuit parameter values used in this evaluation.

sampling_durations: SamplingDurations

Per-call timing breakdown for the quantum circuit execution.

sampling_meta: SamplingMeta_co

Backend-specific metadata returned by the quantum job (e.g., job ID and circuit for Qiskit, or simulated circuit for Qulacs).

timestamp: timedelta

Elapsed time from the start of optimization to when this evaluation completed.