Comparative Analysis of Random Unitary Matrix Generators Using Programmable Photonic Circuits

Photonic integrated random unitary matrix generators based on multiport directional couplers are analyzed. Up to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$512 \times 512$</tex> matrix with complete Haar randomness is obtained by only three phase shifting layers, significantly reducing number of phase shifters.

Authors

Chun Ren
Ryota Tanomura (ORCID: https://orcid.org/0000-0001-7205-3003)
Takuo Tanemura (ORCID: https://orcid.org/0000-0002-6086-1510)

Institutions

The University of Tokyo (JP)

Publication Details

Published: 2025-06-29
DOI: https://doi.org/10.23919/oecc/psc62146.2025.11111415
Primary Topic: Neural Networks and Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Comparative Analysis of Random Unitary Matrix Generators Using Programmable Photonic Circuits

Chun Ren, Ryota Tanomura, Takuo Tanemura

Jun 29, 2025

Neural Networks and Applications

article

Comparative Analysis of Random Unitary Matrix Generators Using Programmable Photonic Circuits

Chun Ren, Ryota Tanomura, Takuo Tanemura

June 29, 2025article en

Abstract

Photonic integrated random unitary matrix generators based on multiport directional couplers are analyzed. Up to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$512 \times 512$</tex> matrix with complete Haar randomness is obtained by only three phase shifting layers, significantly reducing number of phase shifters.

The University of Tokyo (JP)

Openalex Percentile: Top 89%

Neural Networks and Applications

DOI Source OpenAlex

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Comparative Analysis of Random Unitary Matrix Generators Using Programmable Photonic Circuits — Chun Ren, Ryota Tanomura, et al. · (2025) | TGRS Research Map | TGRS