Massively parallel computing on an organic molecular layer

TL;DR

This paper demonstrates a novel molecular assembly that mimics neural parallel processing, enabling dynamic reconfiguration for complex computations and natural phenomena simulation, shifting from traditional serial computing paradigms.

Contribution

It introduces a molecular switch assembly capable of parallel, reconfigurable computing, bridging biological neural networks and conventional digital logic.

Findings

Successfully implemented logic gates and Voronoi diagrams

Simulated heat diffusion and cell mutation processes

Achieved dynamic reconfiguration of molecular hardware

Abstract

Current computers operate at enormous speeds of ~10^13 bits/s, but their principle of sequential logic operation has remained unchanged since the 1950s. Though our brain is much slower on a per-neuron base (~10^3 firings/s), it is capable of remarkable decision-making based on the collective operations of millions of neurons at a time in ever-evolving neural circuitry. Here we use molecular switches to build an assembly where each molecule communicates-like neurons-with many neighbors simultaneously. The assembly's ability to reconfigure itself spontaneously for a new problem allows us to realize conventional computing constructs like logic gates and Voronoi decompositions, as well as to reproduce two natural phenomena: heat diffusion and the mutation of normal cells to cancer cells. This is a shift from the current static computing paradigm of serial bit-processing to a regime in which a large number of bits are processed in parallel in dynamically changing hardware.