Memcomputing with membrane memcapacitive systems

TL;DR

This paper proposes that networks of membrane memcapacitive systems can perform universal logic operations in parallel by adjusting input amplitudes, advancing memcomputing technology with potential solid-state implementations.

Contribution

It introduces a theoretical model for membrane memcapacitive systems capable of universal logic operations through amplitude modulation, without changing network topology.

Findings

Networks can perform all logic gates in parallel

Logic operations are controlled by input amplitudes

Potential for solid-state memcomputing devices

Abstract

We show theoretically that networks of membrane memcapacitive systems -- capacitors with memory made out of membrane materials -- can be used to perform a complete set of logic gates in a massively parallel way by simply changing the external input amplitudes, but not the topology of the network. This polymorphism is an important characteristic of memcomputing (computing with memories) that closely reproduces one of the main features of the brain. A practical realization of these membrane memcapacitive systems, using, e.g., graphene or other 2D materials, would be a step forward towards a solid-state realization of memcomputing with passive devices.