Cargando…

Quantum memristors

Technology based on memristors, resistors with memory whose resistance depends on the history of the crossing charges, has lately enhanced the classical paradigm of computation with neuromorphic architectures. However, in contrast to the known quantized models of passive circuit elements, such as in...

Descripción completa

Detalles Bibliográficos
Autores principales: Pfeiffer, P., Egusquiza, I. L., Di Ventra, M., Sanz, M., Solano, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933948/
https://www.ncbi.nlm.nih.gov/pubmed/27381511
http://dx.doi.org/10.1038/srep29507
_version_ 1782441255298400256
author Pfeiffer, P.
Egusquiza, I. L.
Di Ventra, M.
Sanz, M.
Solano, E.
author_facet Pfeiffer, P.
Egusquiza, I. L.
Di Ventra, M.
Sanz, M.
Solano, E.
author_sort Pfeiffer, P.
collection PubMed
description Technology based on memristors, resistors with memory whose resistance depends on the history of the crossing charges, has lately enhanced the classical paradigm of computation with neuromorphic architectures. However, in contrast to the known quantized models of passive circuit elements, such as inductors, capacitors or resistors, the design and realization of a quantum memristor is still missing. Here, we introduce the concept of a quantum memristor as a quantum dissipative device, whose decoherence mechanism is controlled by a continuous-measurement feedback scheme, which accounts for the memory. Indeed, we provide numerical simulations showing that memory effects actually persist in the quantum regime. Our quantization method, specifically designed for superconducting circuits, may be extended to other quantum platforms, allowing for memristor-type constructions in different quantum technologies. The proposed quantum memristor is then a building block for neuromorphic quantum computation and quantum simulations of non-Markovian systems.
format Online
Article
Text
id pubmed-4933948
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-49339482016-07-08 Quantum memristors Pfeiffer, P. Egusquiza, I. L. Di Ventra, M. Sanz, M. Solano, E. Sci Rep Article Technology based on memristors, resistors with memory whose resistance depends on the history of the crossing charges, has lately enhanced the classical paradigm of computation with neuromorphic architectures. However, in contrast to the known quantized models of passive circuit elements, such as inductors, capacitors or resistors, the design and realization of a quantum memristor is still missing. Here, we introduce the concept of a quantum memristor as a quantum dissipative device, whose decoherence mechanism is controlled by a continuous-measurement feedback scheme, which accounts for the memory. Indeed, we provide numerical simulations showing that memory effects actually persist in the quantum regime. Our quantization method, specifically designed for superconducting circuits, may be extended to other quantum platforms, allowing for memristor-type constructions in different quantum technologies. The proposed quantum memristor is then a building block for neuromorphic quantum computation and quantum simulations of non-Markovian systems. Nature Publishing Group 2016-07-06 /pmc/articles/PMC4933948/ /pubmed/27381511 http://dx.doi.org/10.1038/srep29507 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Pfeiffer, P.
Egusquiza, I. L.
Di Ventra, M.
Sanz, M.
Solano, E.
Quantum memristors
title Quantum memristors
title_full Quantum memristors
title_fullStr Quantum memristors
title_full_unstemmed Quantum memristors
title_short Quantum memristors
title_sort quantum memristors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933948/
https://www.ncbi.nlm.nih.gov/pubmed/27381511
http://dx.doi.org/10.1038/srep29507
work_keys_str_mv AT pfeifferp quantummemristors
AT egusquizail quantummemristors
AT diventram quantummemristors
AT sanzm quantummemristors
AT solanoe quantummemristors