- Patent Title: Optical Ising machines and optical convolutional neural networks
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Application No.: US16032737Application Date: 2018-07-11
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Publication No.: US11017309B2Publication Date: 2021-05-25
- Inventor: Charles Roques-Carmes , Yichen Shen , Li Jing , Tena Dubcek , Scott A. Skirlo , Hengameh Bagherianlemraski , Marin Soljacic
- Applicant: Massachusetts Institute of Technology
- Applicant Address: US MA Cambridge
- Assignee: Massachusetts Institute of Technology
- Current Assignee: Massachusetts Institute of Technology
- Current Assignee Address: US MA Cambridge
- Agency: Smith Baluch LLP
- Main IPC: G06E3/00
- IPC: G06E3/00 ; G06N10/00 ; G06N3/04 ; G06N7/00 ; G06N3/08 ; G06N3/067 ; G06F17/16 ; G06F17/18

Abstract:
A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.
Public/Granted literature
- US20190019100A1 Optical Ising Machines and Optical Convolutional Neural Networks Public/Granted day:2019-01-17
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