Calculations on Bargmann objects¶
This module contains functions for performing calculations on objects in the Bargmann representations.
Functions¶
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Returns the Cayley transform of a matrix: \(cay(X) = (X - cI)(X + cI)^{-1}\) |
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Computes the Gaussian integral of the exponential of a complex quadratic form. |
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Returns the contraction of two |
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Joins two |
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maps a matrix or vector from the q/p basis to the a/adagger basis |
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Reorders the indices of the A matrix and b vector of an (A,b,c) triple. |
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Converts the wigner representation in terms of covariance matrix and mean vector into the Bargmann A,B,C triple for a channel (i.e. for M modes, A has shape 4M x 4M and B has shape 4M). |
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Converts the wigner representation in terms of covariance matrix and mean vector into the Bargmann A,B,C triple for a unitary (i.e. for M modes, A has shape 2M x 2M and B has shape 2M). |
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Converts the wigner representation in terms of covariance matrix and mean vector into the Bargmann A,B,C triple for a Hilbert vector (i.e. for M modes, A has shape M x M and B has shape M). |
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Converts the wigner representation in terms of covariance matrix and mean vector into the Bargmann A,B,C triple for a density matrix (i.e. for M modes, A has shape 2M x 2M and B has shape 2M). |
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Returns the husimi complex covariance matrix and means vector. |
Variables¶
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ndarray(shape, dtype=float, buffer=None, offset=0, |
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ndarray(shape, dtype=float, buffer=None, offset=0, |
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A generic version of collections.abc.Sequence. |
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Deprecated alias to builtins.tuple. |
A class to manage the different backends supported by Mr Mustard. |
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A class containing various settings that are used by Mr Mustard throughout a session. |