Photonic implementation for arbitrary complex-valued matrices

This talk discusses a new photonic implementation to perform general discrete linear operations. This is achieved by properly factorizing any arbitrary NxN complex matrix in terms of a prefixed unitary discrete fractional Fourier transform (DFrFT) matrix and complex diagonal matrices. This approach is handy as it allows for an all-optical implementation using N+1 amplitude and N+1 phase modulation layers, interlaced with fixed DFrFT layers implemented via a coupled waveguide array. Numerical optimizations show that target matrices can indeed be represented through this approach by accordingly tunning the phase and amplitude layers. The proposed architecture enables the development of novel families of programmable lossy and lossless photonic circuits for on-chip analog information processing.

Authors

Institutions

Publication Details

Published
2024-10-02
DOI
https://doi.org/10.1117/12.3028149
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photonic implementation for arbitrary complex-valued matrices

Mohammad‐Ali Miri, Matthew Markowitz, Kevin Zelaya
Optical Network Technologies
article

Photonic implementation for arbitrary complex-valued matrices

Mohammad‐Ali Miri, Matthew Markowitz, Kevin Zelaya
article en

Abstract

This talk discusses a new photonic implementation to perform general discrete linear operations. This is achieved by properly factorizing any arbitrary NxN complex matrix in terms of a prefixed unitary discrete fractional Fourier transform (DFrFT) matrix and complex diagonal matrices. This approach is handy as it allows for an all-optical implementation using N+1 amplitude and N+1 phase modulation layers, interlaced with fixed DFrFT layers implemented via a coupled waveguide array. Numerical optimizations show that target matrices can indeed be represented through this approach by accordingly tunning the phase and amplitude layers. The proposed architecture enables the development of novel families of programmable lossy and lossless photonic circuits for on-chip analog information processing.

The Graduate Center, CUNY (US)
Openalex Percentile: Top 85%
Optical Network Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Photonic implementation for arbitrary complex-valued matrices — Mohammad‐Ali Miri, Matthew Markowitz, et al. · (2024) | TGRS Research Map | TGRS