Models

qiskit_noise_learning.models

Gate set noise models.

Classes

コラム「 1 」	コラム「 2 」
`IdentityFidelityModel`	A fidelity model whose parameters are the log fidelities themselves.
`LogFidelitySpace`	The space of log fidelities of a gate set.
`GeneratorIndex`
`PauliLindbladModel`	A linear mapping from Pauli-Lindblad generator rates to log fidelities.
`RateSpace`	Space of Pauli-Lindblad generator rates, indexed by `GeneratorIndex`.
`PauliLindbladSplit`	The decomposition of a map around its underlying `PauliLindbladModel`.

Functions

コラム「 1 」	コラム「 2 」
`contains_pauli_lindblad_model`(model)	Whether a map is, or contains, a `PauliLindbladModel`.
`get_noise_site`(model)	The noise-site mapping of the map's `PauliLindbladModel`, if it has exactly one.
`is_fidelity_model`(model)	Whether an object is a `LinearMap` with a `LogFidelitySpace` output space.
`split_pauli_lindblad_model`(model)	Split a map around its underlying `PauliLindbladModel`.

Type aliases

qiskit_noise_learning.models.FidelityModel

Type hint for a fidelity model. The authoritative criterion is structural – a LinearMap whose output space is a LogFidelitySpace (see is_fidelity_model); this alias is the closest index-level approximation, since LinearMap is generic over index types, not space types.

alias of LinearMap[Hashable, FidelityIndex]

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