4.6 Article

All-photonic synapse based on iron-doped lithium niobate double metal-cladding waveguides

Journal

PHYSICAL REVIEW B
Volume 104, Issue 23, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevB.104.235308

Keywords

-

Funding

  1. National Key R&D Program of China [2017YFA0303701, 2018YFA0306301]
  2. National Natural Science Foundation of China (NSFC) [11734011, 11764020, 11974245]
  3. Foundation for the fellowship of China Postdoctoral Science Foundation [2020M681275, 2021T140452]
  4. Shanghai Municipal Science and Technology Major Project [2019SHZDZX01]

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This study demonstrates a new method of solid-state ionic transport in an optical system using all-photonic memristors, achieving extremely stable multilevel storage weight and high signal-to-noise ratio. In all-photonic memristors, light signals serve as additional stimuli for large memory window and variation margin of multiple storage levels.
In an artificial neural network composed of neuromorphic computing units, the resistance of the memristor can be modulated dynamically and repeatedly under external stimuli, such as electric fields, magnetic fields, and light illumination, leading to variations in local conductivity and memory effects. Here we show, using an all-photonic memristor, that the memristance arises naturally in an optical system in which solid-state ionic transport is realized under low-power external incident light. These results show an extremely stable multilevel storage weight and a high signal-to-noise ratio. In all-photonic memristors, the light signal is employed as the extra stimuli of the memristor devices to ensure a large memory window and a variation margin of multiple storage levels.

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