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Proceedings Paper

Photonic recurrent ising sampler (PRIS) for photonic parallel networks (Conference Presentation)
Author(s): Yichen Shen

Paper Abstract

The failure of conventional electronic architectures to solve large combinatorial problems motivates the development of novel computational architectures. There has been much effort recently in developing photonic networks which can exploit fundamental properties enshrined in the wave nature of light and of its interaction with matter: high-speed, low-power, optical passivity, and parallelization. However, unleashing the true potential of photonic architectures requires the development of featured algorithms which largely exploit these fundamental properties. We here present the Photonic Recurrent Ising Sampler (PRIS), an algorithm tailored for photonic parallel networks that can sample combinatorially hard distributions of Ising problems, in a fast and efficient manner. The PRIS finds the ground state of general ising problems and is able to probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks, the PRIS relies on intrinsic dynamic noise to find ground states more efficiently.

Paper Details

Date Published: 10 March 2020
Proc. SPIE 11283, Integrated Optics: Devices, Materials, and Technologies XXIV, 1128316 (10 March 2020); doi: 10.1117/12.2553692
Show Author Affiliations
Yichen Shen, Lightelligence, Inc. (United States)

Published in SPIE Proceedings Vol. 11283:
Integrated Optics: Devices, Materials, and Technologies XXIV
Sonia M. García-Blanco; Pavel Cheben, Editor(s)

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