2021•Unpublished venueOpen access

Towards a Photonic Integrated Linear Algebra Processor for Complex Matrix Multiplication and Inversion

Qixiang Cheng, Minjia Chen, Masafumi Ayata, Mark Holm, Richard V. Penty

Abstract

We propose the first on-chip optical linear algebra processor for complex-valued matrix multiplication and inversion, incorporating III-V gain blocks. Architecture properties and design considerations are discussed, with numerical analyses showing its superiority over electronic processors.

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Matrix multiplication, Linear algebra, Inversion (geology), Computer science, Multiplication (music), Matrix algebra, Algebra over a field, Numerical linear algebra