Simulation of memristive synapses and neuromorphic computing on a quantum computer

Abstract

One of the major approaches to neuromorphic computing is using memristors as analogue synapses. We propose unitary quantum gates that exhibit memristive behaviours, including Ohm's law, pinched hysteresis loop and synaptic plasticity. Hysteresis depending on the quantum phase and long-term plasticity that encodes the quantum state are observed. We also propose a three-layer neural network with the capability of universal quantum computing. Quantum state classification on the memristive neural network is demonstrated. Our results pave the way towards brain-inspired quantum computing. We obtain these results in numerical simulations and experiments on the superconducting quantum computer ibmq_vigo.

11 pages, 9 figures

References in corpus (3)

• Supplementary information for "Quantum supremacy using a programmable superconducting processor"
• QuESTlink -- Mathematica embiggened by a hardware-optimised quantum emulator
• Quantum Memristors in Frequency-Entangled Optical Fields

Cited by in corpus (6)

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• Route to chaos and chimera states in a network of memristive Hindmarsh-Rose neuron model with external excitation
• Entangled Quantum Memristors
• Synchronization of Memristive FitzHugh-Nagumo Neural Networks
• A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network
• Chimera state in neural network with the Proportional-Integral-Derivative coupling