Your new experience awaits. Try the new design now and help us make it even better

BRIEF RESEARCH REPORT article

Front. Appl. Math. Stat.

Sec. Dynamical Systems

Volume 11 - 2025 | doi: 10.3389/fams.2025.1625802

This article is part of the Research TopicInnovative Applications of Applied Mathematics in Solving Real-World ChallengesView all 4 articles

Can Associative Memory be Modeled by Quantum Information?

Provisionally accepted
  • Rabdan Academy, Abu Dhabi, United Arab Emirates

The final, formatted version of the article will be published soon.

Associative memory is the ability to reveal similarities between unrelated items. Models of associative memory typically rely on significant assumptions about information encoding procedure, structure of underlying complex network, computational power of nodes and communication capacity of links. Keeping assumptions plausible and at minimum, the search for association can be done on a network enhanced with quantum information processing exploiting nonlocality and quantum state comparison.

Keywords: Association, Memory, Quantum information, entanglement, network

Received: 09 May 2025; Accepted: 13 Aug 2025.

Copyright: © 2025 Siomau. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Michael Siomau, Rabdan Academy, Abu Dhabi, United Arab Emirates

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.