Evidence map›Paper›PMID 32074986›Full record

ArticleMaterials (Basel, Switzerland)2020

Quantum Memristors in Frequency-Entangled Optical Fields.

Tasio Gonzalez-Raya, Joseph M Lukens, Lucas C Céleri, Mikel Sanz

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Proposal for Trapped-Ion Quantum Memristor.Entropy (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tasio Gonzalez-RayaDepartment of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080 Bilbao, Spain.
Joseph M LukensQuantum Information Science Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0001-9650-4462
Lucas C CéleriDepartment of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080 Bilbao, Spain.
Mikel SanzDepartment of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080 Bilbao, Spain.ORCID 0000-0003-1615-9035

Funding

Basque Government IT986-16Brazilian ministries MEC and MCTIC, funding agency CNPq -Brazilian National Institute of Science and Technology of Quantum Information (INCT-IQ) -Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) 001EU FET Open Grant Quromorphic -EU Flagship on Quantum Technologies, OpenSuperQ 820363EU Flagship on Quantum Technologies, QMiCS 820505Spanish Government (MCIU/AEI/FEDER, UE) PGC2018-095113-B-I00U.S. Department of Energy ERKJ333US Department of Energy DE-AC05-00OR22725
6 · The paper itself

Abstract

A quantum memristor is a passive resistive circuit element with memory, engineered in a given quantum platform. It can be represented by a quantum system coupled to a dissipative environment, in which a system-bath coupling is mediated through a weak measurement scheme and classical feedback on the system. In quantum photonics, such a device can be designed from a beam splitter with tunable reflectivity, which is modified depending on the results of measurements in one of the outgoing beams. Here, we show that a similar implementation can be achieved with frequency-entangled optical fields and a frequency mixer that, working similarly to a beam splitter, produces state superpositions. We show that the characteristic hysteretic behavior of memristors can be reproduced when analyzing the response of the system with respect to the control, for different experimentally attainable states. Since memory effects in memristors can be exploited for classical and neuromorphic computation, the results presented in this work could be a building block for constructing quantum neural networks in quantum photonics, when scaling up.

Indexed as

memristive systemsquantum memristorsquantum neural networksquantum photonics

Identifiers

PMID32074986
PMCPMC7079656

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.