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Conferences > IPRSN > 2017 > ITu3A > ITu3A.3

Programmable Nanophotonics for Quantum Simulation and Machine Learning

Nicholas C. Harris, Yichen Shen, Gregory R. Steinbrecher, Mihika Prabhu, Tom Baehr-Jones, Michael Hochberg, Marin Soljacic, and Dirk Englund

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Abstract

Beyond communication, silicon photonics is becoming a promising platform for both quantum and classical information processing. Here, we discuss our recent results on using programmable nanophotonic systems to simulate quantum phenomena found in solid-state and biological systems as well as the implementation of optical neural networks for deep learning.

© 2017 Optical Society of America

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