University of Exeter
Browse

On-chip photonic synapse

Download (1.22 MB)
journal contribution
posted on 2025-07-31, 18:51 authored by Z Cheng, C Ríos, WHP Pernice, CD Wright, H Bhaskaran
The search for new "neuromorphic computing" architectures that mimic the brain's approach to simultaneous processing and storage of information is intense. Because, in real brains, neuronal synapses outnumber neurons by many orders of magnitude, the realization of hardware devices mimicking the functionality of a synapse is a first and essential step in such a search. We report the development of such a hardware synapse, implemented entirely in the optical domain via a photonic integrated-circuit approach. Using purely optical means brings the benefits of ultrafast operation speed, virtually unlimited bandwidth, and no electrical interconnect power losses. Our synapse uses phase-change materials combined with integrated silicon nitride waveguides. Crucially, we can randomly set the synaptic weight simply by varying the number of optical pulses sent down the waveguide, delivering an incredibly simple yet powerful approach that heralds systems with a continuously variable synaptic plasticity resembling the true analog nature of biological synapses.

Funding

This research was supported via the Engineering and Physical Sciences Research Council Manufacturing Fellowship EP/J018694/1, the Wearable and Flexible Technologies (WAFT) collaboration (EP/M015173/1), and the Chalcogenide Advanced Manufacturing Partnership (EP/M015130/1).

History

Related Materials

  1. 1.

Rights

Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Notes

This is the final version of the article. Available from the American Association for the Advancement of Science via the DOI in this record.

Journal

Science Advances

Publisher

American Association for the Advancement of Science

Place published

United States

Language

en

Citation

Vol. 3 (9), article e1700160

Department

  • Engineering

Usage metrics

    University of Exeter

    Categories

    No categories selected

    Keywords

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC