Demonstration of Superconducting Optoelectronic Single-Photon Synapses
Saeed Khan, Bryce A. Primavera, Jeff Chiles, Adam N. McCaughan, Sonia, M. Buckley, Alexander N. Tait, Adriana Lita, John Biesecker, Anna Fox, David, Olaya, Richard P. Mirin, Sae Woo Nam, and Jeffrey M. Shainline

TL;DR
This work demonstrates superconducting optoelectronic synapses by integrating single-photon detectors with Josephson junctions, enabling scalable, energy-efficient neuromorphic hardware capable of high-speed, complex neural network functions.
Contribution
First monolithic integration of superconducting nanowire single-photon detectors with Josephson junctions for neuromorphic applications.
Findings
Synapses operate with time constants from hundreds of nanoseconds to milliseconds.
Responsive to presynaptic spike rates over 10 MHz.
Consume approximately 33 aJ per synaptic event.
Abstract
Superconducting optoelectronic hardware is being explored as a path towards artificial spiking neural networks with unprecedented scales of complexity and computational ability. Such hardware combines integrated-photonic components for few-photon, light-speed communication with superconducting circuits for fast, energy-efficient computation. Monolithic integration of superconducting and photonic devices is necessary for the scaling of this technology. In the present work, superconducting-nanowire single-photon detectors are monolithically integrated with Josephson junctions for the first time, enabling the realization of superconducting optoelectronic synapses. We present circuits that perform analog weighting and temporal leaky integration of single-photon presynaptic signals. Synaptic weighting is implemented in the electronic domain so that binary, single-photon communication can be…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Photonic and Optical Devices
