randomized_benchmarking

tergite_autocalibration.lib.nodes.coupler.tqg_randomized_benchmarking.utils.randomized_benchmarking

Functions:

Name	Description
`add_interleaved_clifford`	Adds an interleaved Clifford gate to the sequence.
`add_inverse_clifford`	Adds the inverse of the total sequence to the end of the sequence.
`calculate_net_clifford`	Calculate the net-clifford from a list of cliffords indices.
`randomized_benchmarking_sequence`	Generates a randomized benchmarking sequence using the one- or two-qubit Clifford group.

add_interleaved_clifford

add_interleaved_clifford(clifford_sequence: ndarray, interleaved_clifford_idx: int) -> ndarray

Adds an interleaved Clifford gate to the sequence.

Parameters:

Name	Type	Description	Default
`clifford_sequence`	`ndarray`	Array of Clifford indices.	required
`interleaved_clifford_idx`	`int`	ID for interleaving a specific Clifford gate.	required

Returns:

Type	Description
`ndarray`	np.ndarray: Array with interleaved Clifford.

add_inverse_clifford

add_inverse_clifford(clifford_sequence: ndarray, CliffordClass: Type[Clifford]) -> ndarray

Adds the inverse of the total sequence to the end of the sequence.

Parameters:

Name	Type	Description	Default
`clifford_sequence`	`ndarray`	Array of Clifford indices.	required
`CliffordClass`	`Type[Clifford]`	The class of the Clifford group used.	required

Returns:

Type	Description
`ndarray`	np.ndarray: Array with appended inverse Clifford.

calculate_net_clifford

calculate_net_clifford(clifford_indices: ndarray, CliffordClass: Type[Clifford]) -> Clifford

Calculate the net-clifford from a list of cliffords indices.

Parameters:

Name	Type	Description	Default
`clifford_indices`	`ndarray`	Array of integers specifying the Cliffords.	required
`CliffordClass`	`Type[Clifford]`	Clifford class used to determine the inversion technique and valid indices. Valid choices are `SingleQubitClifford` and `TwoQubitClifford`.	required

Returns:

Name	Type	Description
`net_clifford`	`Clifford`	a `Clifford` object containing the net-clifford. the Clifford index is contained in the Clifford.idx attribute.

the order corresponds to the order in a pulse sequence but is

the reverse of what it would be in a chained dot product.

randomized_benchmarking_sequence

randomized_benchmarking_sequence(number_of_cliffords: int, apply_inverse: bool = True, clifford_group: Literal[1, 2] = 1, interleaved_clifford_idx: Optional[int] = None, seed: Optional[int] = None) -> ndarray

Generates a randomized benchmarking sequence using the one- or two-qubit Clifford group.

Parameters:

Name	Type	Description	Default
`number_of_cliffords`	`int`	Number of Clifford gates in the sequence (excluding the optional inverse).	required
`apply_inverse`	`bool`	Whether to append the recovery Clifford that inverts the total sequence.	`True`
`clifford_group`	`int`	Specifies which Clifford group to use. 1 for single-qubit (24 elements), 2 for two-qubit (11,520 elements).	`1`
`interleaved_clifford_idx`	`Optional[int]`	Optional ID for interleaving a specific Clifford gate.	`None`
`seed`	`Optional[int]`	Optional seed for reproducibility.	`None`

Returns:

Type	Description
`ndarray`	np.ndarray: Array of Clifford indices representing the randomized benchmarking sequence.

Raises:

Type	Description
`ValueError`	If `number_of_cliffords` is negative.
`NotImplementedError`	If an unsupported Clifford group is specified.