Invention Grant
- Patent Title: Training of photonic neural networks through in situ backpropagation
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Application No.: US17054125Application Date: 2019-05-10
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Publication No.: US12026615B2Publication Date: 2024-07-02
- Inventor: Tyler William Hughes , Momchil Minkov , Ian Williamson , Shanhui Fan
- Applicant: The Board of Trustees of the Leland Stanford Junior University
- Applicant Address: US CA Stanford
- Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee: The Board of Trustees of the Leland Stanford Junior University
- Current Assignee Address: US CA Stanford
- Agency: KPPB LLP
- International Application: PCT/US2019/031747 2019.05.10
- International Announcement: WO2019/217835A 2019.11.14
- Date entered country: 2020-11-09
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G02B6/293 ; G06N3/063

Abstract:
Systems and methods for training photonic neural networks in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training a set of one or more optical interference units (OIUs) of a photonic artificial neural network (ANN), wherein the method includes calculating a loss for an original input to the photonic ANN, computing an adjoint input based on the calculated loss, measuring intensities for a set of one or more phase shifters in the set of OIUs when the computed adjoint input and the original input are interfered with each other within the set of OIUs, computing a gradient from the measured intensities, and tuning phase shifters of the OIU based on the computed gradient.
Public/Granted literature
- US20210192342A1 Training of Photonic Neural Networks Through in situ Backpropagation Public/Granted day:2021-06-24
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