Can associative memory be modeled by quantum information?

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 non-locality and quantum state comparison.

Authors

Publication Details

Journal
Frontiers in Applied Mathematics and Statistics
Published
2025-09-03
DOI
https://doi.org/10.3389/fams.2025.1625802
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Can associative memory be modeled by quantum information?

Michael Siomau
Frontiers in Applied Mathematics and Statistics
Quantum Computing Algorithms and Architecture
article

Can associative memory be modeled by quantum information?

Michael Siomau
article en

Abstract

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 non-locality and quantum state comparison.

Frontiers in Applied Mathematics and StatisticsVol. 11
Openalex Percentile: Top 88%
Quantum Computing Algorithms and Architecture
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Can associative memory be modeled by quantum information? — Michael Siomau · Frontiers in Applied Mathematics and Statistics (2025) | TGRS Research Map | TGRS