Resource-efficient crosstalk mitigation for the high-fidelity operation of photonic integrated circuits with induced phase shifters

TL;DR

This paper introduces a systematic approach to model, characterize, and mitigate crosstalk in photonic integrated circuits using induced phase shifters and machine learning, enhancing high-fidelity PIC operations.

Contribution

It presents the concept of induced phase shifters caused by crosstalk, a machine learning-based characterization method, and a mitigation framework validated on a 12-mode interferometer.

Findings

Accurately models crosstalk with induced phase shifters

Successfully characterizes crosstalk using machine learning

Demonstrates effective crosstalk mitigation in experiments

Abstract

Photonic integrated circuits (PICs) are key platforms for the compact and stable manipulation of classical and quantum light. Imperfections arising from fabrication constraints, tolerances, and operation wavelength limit the accuracy of intended operations on light and impede the practical utility of current PICs. In particular, crosstalk between reconfigurable phase shifters is challenging to characterize due to the large number of parameters to estimate and the difficulty in isolating individual parameters. Previous studies have attempted to model crosstalk solely as an interaction between controlled phase shifters, overlooking the broader scope of this issue. We introduce the concept of induced phase shifter, arising from crosstalk on bare waveguide sections as predicted by simulations, resulting in an exhaustive description and systematic analysis of crosstalk. We characterize induced phase shifters in physical devices using a machine learning-based method and propose a mitigation framework. This framework further allows to establish a criterion certifying that a given interferometer has a sufficient number of degrees of freedom adequately laid out to fully mitigate crosstalk. Our approach is experimentally validated on a 12-mode Clements interferometer. We demonstrate the efficacy of our extended crosstalk model to accurately recover physical crosstalk properties of the PIC and cancel induced phase shifters following our mitigation framework.