mm.physics.gaussian.general_dyne

mrmustard.physics.gaussian.general_dyne(cov, means, proj_cov, proj_means=None, modes=None)

Returns the results of a general-dyne measurement. If proj_means are not provided (as None), they are sampled from the probability distribution.

Parameters:

• cov (Matrix) – covariance matrix of the state being measured [units of 2hbar]

• means (Vector) – means vector of the state being measured [units of sqrt(hbar)]

• proj_cov (Matrix) – covariance matrix of the state being projected onto [units of 2hbar]

• proj_means (Optional Vector) – means vector of the state being projected onto (i.e. the measurement outcome) [units of sqrt(hbar)]. If not provided, the means vector is sampled from the generaldyne probability distribution.

• modes (Optional Sequence[int]) – modes being measured (modes are indexed from 0 to num_modes-1), if modes are not provided then the first modes (according to the size of cov) are measured.

Returns:

outcome (sampled means vector of the measured subsystem) [units of sqrt(hbar)], oucome probability [units of hbar**N], post-measurement covariace [units of 2hbar] post-measurement means vector [units of sqrt{hbar}].

Return type:

Tuple[Scalar, Scalar, Matrix, Vector]

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