Solving mazes with memristors: A massively parallel approach

Yuriy V. Pershin and Massimiliano Di Ventra
Phys. Rev. E 84, 046703 – Published 14 October 2011
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Abstract

Solving mazes is not just a fun pastime: They are prototype models in several areas of science and technology. However, when maze complexity increases, their solution becomes cumbersome and very time consuming. Here, we show that a network of memristors—resistors with memory—can solve such a nontrivial problem quite easily. In particular, maze solving by the network of memristors occurs in a massively parallel fashion since all memristors in the network participate simultaneously in the calculation. The result of the calculation is then recorded into the memristors’ states and can be used and/or recovered at a later time. Furthermore, the network of memristors finds all possible solutions in multiple-solution mazes and sorts out the solution paths according to their length. Our results demonstrate not only the application of memristive networks to the field of massively parallel computing, but also an algorithm to solve mazes, which could find applications in different fields.

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  • Received 18 March 2011

DOI:https://doi.org/10.1103/PhysRevE.84.046703

©2011 American Physical Society

Authors & Affiliations

Yuriy V. Pershin1,* and Massimiliano Di Ventra2,†

  • 1Department of Physics and Astronomy, USC Nanocenter, University of South Carolina, Columbia, South Carolina 29208, USA
  • 2Department of Physics, University of California San Diego, La Jolla, California 92093-0319, USA

  • *pershin@physics.sc.edu
  • diventra@physics.ucsd.edu

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Issue

Vol. 84, Iss. 4 — October 2011

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