Stochastic logic in biased coupled photonic probabilistic bits

TL;DR

This paper proposes a novel photonic approach using coupled biased optical parametric oscillators to emulate stochastic logic, enabling probabilistic computing for complex optimization problems.

Contribution

It introduces an experimentally viable optical hardware method for probabilistic computing based on coherent Ising machines, filling a gap in optical computing capabilities.

Findings

Numerical simulations show feasibility of the approach.

Optical parametric oscillators can emulate stochastic logic.

Potential for solving complex combinatorial optimization problems.

Abstract

Optical computing often employs tailor-made hardware to implement specific algorithms, trading generality for improved performance in key aspects like speed and power efficiency. An important computing approach that is still missing its corresponding optical hardware is probabilistic computing, used e.g. for solving difficult combinatorial optimization problems. In this study, we propose an experimentally viable photonic approach to solve arbitrary probabilistic computing problems. Our method relies on the insight that coherent Ising machines composed of coupled and biased optical parametric oscillators can emulate stochastic logic. We demonstrate the feasibility of our approach by using numerical simulations equivalent to the full density matrix formulation of coupled optical parametric oscillators.