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AdvancedConfig ¶

Bases: BaseModel

Additional FlexQAOA algorithm configuration.

Attributes:

Name	Type	Description
`mixer`	`XYMixer \| Dict`	Mixer types in XY-ring-mixer. Default: `["even", "odd", "last"]`
`parallel_indicators`	`bool`	Toggle to apply indicator functions in parallel. Does not affect sampling performance of QAOA, but only circuit metrics, like number of qubits and circuit depth.
`discard_slack`	`bool`	Discard slack qubits in evaluation, i.e. only measure on the binary variables of the initial problem. This requires an auxilary cost function that penalizes infeasible solutions.
`infeas_penalty`	`float \| None`	Penalty for infeasible solutions if `discard_slack` is activated. By defalt, 10 times the max absolute intial bias is chosen.

discard_slack `class-attribute` `instance-attribute` ¶

discard_slack: bool = Field(
    default=False,
    description="Discard slack qubits in evaluation, i.e. only measure on the binary variables of the initial problem. This requires an auxilary cost function that penalizes infeasible solutions.",
)

infeas_penalty `class-attribute` `instance-attribute` ¶

infeas_penalty: float | None = Field(
    default=None,
    ge=0,
    description="Penalty for infeasible solutions if `discard_slack` is activated.By defalt, 10 times the max absolute intial bias is chosen.",
)

mixer `class-attribute` `instance-attribute` ¶

mixer: XYMixer = Field(
    default_factory=lambda: XYMixer(),
    description='Mixer types in XY-ring-mixer. Default: `["even", "odd", "last"]`',
)

parallel_indicators `class-attribute` `instance-attribute` ¶

parallel_indicators: bool = Field(
    default=True,
    description="Toggle to apply indicator functions in parallel. Does not affect sampling performance of QAOA, but only circuit metrics, like number of qubits and circuit depth.",
)