Programmable Superconducting Optoelectronic Single-Photon Synapses with Integrated Multi-State Memory

• URL: http://arxiv.org/abs/2311.05881v1
• Date: Fri, 10 Nov 2023 05:34:44 GMT
• Title: Programmable Superconducting Optoelectronic Single-Photon Synapses with Integrated Multi-State Memory
• Authors: Bryce A. Primavera, Saeed Khan, Richard P. Mirin, Sae Woo Nam, Jeffrey M. Shainline
• Abstract summary: Superconducting nanowire single-photon detectors and Josephson junctions are combined into programmable synaptic circuits. Results are attractive for implementing a variety of supervised and unsupervised learning algorithms.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The co-location of memory and processing is a core principle of neuromorphic computing. A local memory device for synaptic weight storage has long been recognized as an enabling element for large-scale, high-performance neuromorphic hardware. In this work, we demonstrate programmable superconducting synapses with integrated memories for use in superconducting optoelectronic neural systems. Superconducting nanowire single-photon detectors and Josephson junctions are combined into programmable synaptic circuits that exhibit single-photon sensitivity, memory cells with more than 400 internal states, leaky integration of input spike events, and 0.4 fJ programming energies (including cooling power). These results are attractive for implementing a variety of supervised and unsupervised learning algorithms and lay the foundation for a new hardware platform optimized for large-scale spiking network accelerators.

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