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Quantum statistical transport phenomena in memristive computing architectures
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Singh, Christopher N., Crafton, Brian A., West, Mathew P., Weidenbach, Alex S., Butler, Keith T., MacDonald, Allan H., Raychowdury, Arjit, Vogel, Eric M., Doolittle, W. Alan, Piper, Louis F. J. and Lee, Wei-Cheng (2021) Quantum statistical transport phenomena in memristive computing architectures. Physical Review Applied, 15 (5). 054030. doi:10.1103/PhysRevApplied.15.054030 ISSN 2331-7019.
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Official URL: https://doi.org/10.1103/PhysRevApplied.15.054030
Abstract
The advent of reliable nanoscale memristive components is promising for next-generation compute-in-memory paradigms; however, the intrinsic variability in these devices has prevented widespread adoption. Here, we show coherent electron wave functions play a pivotal role in the nanoscale transport properties of these emerging nonvolatile memories. By characterizing both filamentary and nonfilamentary memristive devices as disordered Anderson systems, the switching characteristics and intrinsic variability arise directly from the universality of electron transport in disordered media. Our framework suggests that localization phenomena in nanoscale solid-state memristive systems are directly linked to circuit-level performance. We discuss how quantum conductance fluctuations in the active layer set a lower bound on device variability. This finding implies that there is a fundamental quantum limit on the reliability of memristive devices and that electron coherence will play a decisive role in surpassing or maintaining Moore’s law with these systems.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Library of Congress Subject Headings (LCSH): | Memristors, Nanoelectronics, Computer storage devices | ||||||||
Journal or Publication Title: | Physical Review Applied | ||||||||
Publisher: | American Physical Society | ||||||||
ISSN: | 2331-7019 | ||||||||
Official Date: | May 2021 | ||||||||
Dates: |
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Volume: | 15 | ||||||||
Number: | 5 | ||||||||
Article Number: | 054030 | ||||||||
DOI: | 10.1103/PhysRevApplied.15.054030 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Copyright Holders: | © 2021 American Physical Society | ||||||||
Date of first compliant deposit: | 15 February 2023 | ||||||||
Date of first compliant Open Access: | 15 February 2023 | ||||||||
RIOXX Funder/Project Grant: |
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