BosonSampling.jl: A Julia package for quantum multi-photon interferometry

BosonSampling.jl: A Julia package for quantum multi-photon interferometry

BosonSampling.jl: A Julia package for quantum multi-photon interferometry PlatoBlockchain Data Intelligence. Vertical Search. Ai.

Benoit Seron and Antoine Restivo

Quantum Information and Communication, Ecole polytechnique de Bruxelles, CP 165/59, Université libre de Bruxelles (ULB), 1050 Brussels, Belgium

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Abstract

We present a free open source package for high performance simulation and numerical investigation of boson samplers and, more generally, multi-photon interferometry. Our package is written in Julia, allowing C-like performance with easy notations and fast, high-level coding. Underlying building blocks can easily be modified without complicated low-level language modifications. We present a great variety of routines for tasks related to boson sampling, such as statistical tools, optimization methods and classical samplers. Special emphasis is put on validation of experiments, where we present novel algorithms. This package goes beyond the boson sampling paradigm, allowing for the investigation of new interferometric behaviours such as bosonic bunching.

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Cited by

[1] Benoit Seron, Leonardo Novo, and Nicolas J. Cerf, “Boson bunching is not maximized by indistinguishable particles”, Nature Photonics 17 8, 702 (2023).

[2] Lorenzo Carosini, Virginia Oddi, Francesco Giorgino, Lena M. Hansen, Benoit Seron, Simone Piacentini, Tobias Guggemos, Iris Agresti, Juan C. Loredo, and Philip Walther, “Programmable multiphoton quantum interference in a single spatial mode”, Science Advances 10 16, eadj0993 (2024).

[3] Stephen C. Wein, “Simulating photon counting from dynamic quantum emitters by exploiting zero-photon measurements”, Physical Review A 109 2, 023713 (2024).

[4] Léo Pioge, Benoit Seron, Leonardo Novo, and Nicolas J. Cerf, “Enhanced bunching of nearly indistinguishable bosons”, arXiv:2308.12226, (2023).

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