Macroscopic noise amplification by asymmetric dyads in non-Hermitian optical systems for generative diffusion models

TL;DR

This paper investigates how asymmetric dyads in non-Hermitian optical systems can amplify noise, with potential applications in sensors, random number generators, and optical machine learning models.

Contribution

It introduces the use of asymmetric non-Hermitian dyads for noise amplification and proposes their application in ultra-fast, energy-efficient optical diffusion models.

Findings

Modifying pumping strengths can mitigate hardware imperfections.

Couplings induce non-uniform statistical distributions.

Potential for high-speed, energy-efficient optical computing.

Abstract

A new generation of sensors, hardware random number generators, and quantum and classical signal detectors are exploiting strong responses to external perturbations of system noise. Here, we study noise amplification by asymmetric dyads in freely expanding non-Hermitian optical systems. We show that modifications of the pumping strengths can counteract bias from natural imperfections of the system's hardware, while couplings between dyads lead to systems with non-uniform statistical distributions. Our results suggest that asymmetric non-Hermitian dyads are promising candidates for efficient sensors and ultra-fast random number generators. We propose that the integrated light emission from such asymmetric dyads can be efficiently used for analog all-optical degenerative diffusion models of machine learning to overcome the digital limitations of such models in processing speed and energy consumption.