# Fluxonic Processing of Photonic Synapse Events

## TL;DR

This paper introduces superconducting circuits that convert photonic synapse signals into electronic signals for dendritic processing, enabling complex neural computations with single-photon inputs.

## Contribution

It presents novel Josephson junction-based circuits that perform temporal filtering, logic, and nonlinear functions on photonic synapse events, facilitating efficient photon-based neural processing.

## Key findings

- Simulations demonstrate basic logical operations on single-photon signals.
- Circuits can fan out photonic signals to enable multiple processing pathways.
- Efficient processing of photonic synapses using superconducting electronics.

## Abstract

Much of the information processing performed by a neuron occurs in the dendritic tree. For neural systems using light for communication, it is advantageous to convert signals to the electronic domain at synaptic terminals so dendritic computation can be performed with electrical circuits. Here we present circuits based on Josephson junctions and mutual inductors that act as dendrites, processing signals from synapses receiving single-photon communication events with superconducting detectors. We show simulations of circuits performing basic temporal filtering, logical operations, and nonlinear transfer functions. We further show how the synaptic signal from a single-photon can fan out locally in the electronic domain to enable the dendrites of the receiving neuron to process a photonic synapse event or pulse train in multiple different ways simultaneously. Such a technique makes efficient use of photons, energy, space, and information.