English

Massively parallel computing on an organic molecular layer

Emerging Technologies 2015-05-30 v1 Computational Physics

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.

Keywords

Cite

@article{arxiv.1110.5844,
  title  = {Massively parallel computing on an organic molecular layer},
  author = {Anirban Bandyopadhyay and Ranjit Pati and Satyajit Sahu and Ferdinand Peper and Daisuke Fujita},
  journal= {arXiv preprint arXiv:1110.5844},
  year   = {2015}
}

Comments

25 pages, 6 figures

R2 v1 2026-06-21T19:26:15.227Z