Error Correction in Structured Optical Receivers

TL;DR

This paper introduces a novel method for compensating arbitrary phase errors in structured optical receivers, improving their robustness and reliability in photon-starved environments through a convex error space and a learning algorithm.

Contribution

It presents a new approach to error correction in integrated optics by deriving a convex error space and implementing a learning algorithm for codebook optimization.

Findings

Successfully demonstrated error compensation experimentally

Achieved improved communication robustness in photon-starved conditions

Developed a novel convex error space framework

Abstract

Integrated optics Green Machines enable better communication in photon-starved environments, but fabrication inconsistencies induce unpredictable internal phase errors, making them difficult to construct. We describe and experimentally demonstrate a new method to compensate for arbitrary phase errors by deriving a convex error space and implementing an algorithm to learn a unique codebook of codewords corresponding to each matrix.