XanaduAI/thewalrus v0.19.0

Release 0.19.0

on GitHub

New features

• New functions for calculating properties of distinguishable squeezed states of light having passed through an interferometer. #326

• New function ltor is added which allows threshold_detector_prob to act more consistently on displaced and zero-mean Gaussian states. #317

• New functions for threshold detection probabilities of Fock states, the Bristolian (brs) and the Unitary Bristolian (ubrs). #316

• Entanglement measures entanglement_entropy and log_negativity for bipartite Gaussian states are added to the quantum submodule. #332

• New functions, recursive_hafnian and solve added in the _hafnian module. #325

• New function to check if a matrix is symplectic is_symplectic. #334.

• Adds support for Python 3.10. #337

Improvements

• Update methods for calculating threshold detector probabilities of Gaussian states, now using ltor function within threshold_detection_prob #317

• numba_tor now can benefit from numba parallelization #317

• Recursive Torontonian added for faster computation based on paper "Polynomial speedup in Torontonian calculation by a scalable recursive algorithm" by Ágoston Kaposi, Zoltán Kolarovszki, Tamás Kozsik, Zoltán Zimborás, and Péter Rakyta. #321

• Recursive Loop Torontonian added for faster computation based on combining recursive Torontonian improvement and new loop Torontonian feature. #332

• Hafnians of odd-sized matrices are calculated roughly twice as fast. #329

• The new Hafnian functions now use the Labudde method to calculate power traces instead of using diagonalization. #333

Bug fixes

• Permanent algorithms handle 0x0 cases correctly. #320

Contributors

This release contains contributions from (in alphabetical order):

Jake Bulmer, Luke Helt, Martin Houde, Theodor Isacsson, Benjamin Lanthier, Fabian Laudenbach, Dominic Leclerc, Gregory Morse, Nicolas Quesada, Brandon Turcotte, Jiaqi Zhao