Acceleration of digital memcomputing by jumps

Fuente: arXiv
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Main Author: Pershin, Yuriy V.
Format: Preprint
Published: 2024
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author Pershin, Yuriy V.
author_facet Pershin, Yuriy V.
contents In this article, we present the potential benefits of incorporating jumps into the dynamics of digital memcomputing machines (DMMs), which have been developed to address complex optimization problems. We illustrate the potential speed improvement of a DMM solver with jumps over an unmodified DMM solver by solving Boolean satisfiability (SAT) problems of different complicatedness. Our findings suggest that jumps can modify scaling exponents and improve solving times by up to 75 %. Interestingly, the advantages of jumps can be seen in cases where the size of the jump is so large that otherwise the continuous dynamics of voltage variables becomes almost binary.
format Preprint
id arxiv_https___arxiv_org_abs_2403_01627
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Acceleration of digital memcomputing by jumps
Pershin, Yuriy V.
Emerging Technologies
Chaotic Dynamics
In this article, we present the potential benefits of incorporating jumps into the dynamics of digital memcomputing machines (DMMs), which have been developed to address complex optimization problems. We illustrate the potential speed improvement of a DMM solver with jumps over an unmodified DMM solver by solving Boolean satisfiability (SAT) problems of different complicatedness. Our findings suggest that jumps can modify scaling exponents and improve solving times by up to 75 %. Interestingly, the advantages of jumps can be seen in cases where the size of the jump is so large that otherwise the continuous dynamics of voltage variables becomes almost binary.
title Acceleration of digital memcomputing by jumps
topic Emerging Technologies
Chaotic Dynamics
url https://arxiv.org/abs/2403.01627