Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots

Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots

We present the results of the simulation of a quantum neural network based on quantum dots using numerical method of path integral calculation. In the proposed implementation of the quantum neural network using an array of single-electron quantum dots with dipole-dipole interaction, the coherence is...

Full description

Bibliographic Details
Main Authors: Altaisky Mikhail V., Zolnikova Nadezhda N., Kaputkina Natalia E., Krylov Victor A., Lozovik Yurii E., Dattani Nikesh S.
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/201610802006
id doaj-41d8ce626d854480a66bbed58b8b4fd6
record_format Article
spelling doaj-41d8ce626d854480a66bbed58b8b4fd62021-08-02T12:18:42ZengEDP SciencesEPJ Web of Conferences2100-014X2016-01-011080200610.1051/epjconf/201610802006epjconf_mmcp2016_02006Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum DotsAltaisky Mikhail V.0Zolnikova Nadezhda N.1Kaputkina Natalia E.2Krylov Victor A.3Lozovik Yurii E.4Dattani Nikesh S.5Space Research Institute RASSpace Research Institute RASNational University of Science and Technology “MISIS”Joint Institute for Nuclear ResearchInstitute of Spectroscopy RASQuantum Chemistry Laboratory, Kyoto UniversityWe present the results of the simulation of a quantum neural network based on quantum dots using numerical method of path integral calculation. In the proposed implementation of the quantum neural network using an array of single-electron quantum dots with dipole-dipole interaction, the coherence is shown to survive up to 0.1 nanosecond in time and up to the liquid nitrogen temperature of 77K.We study the quantum correlations between the quantum dots by means of calculation of the entanglement of formation in a pair of quantum dots on the GaAs based substrate with dot size of 100 ÷ 101 nanometer and interdot distance of 101 ÷ 102 nanometers order.http://dx.doi.org/10.1051/epjconf/201610802006
collection DOAJ
language English
format Article
sources DOAJ
author Altaisky Mikhail V.
Zolnikova Nadezhda N.
Kaputkina Natalia E.
Krylov Victor A.
Lozovik Yurii E.
Dattani Nikesh S.
spellingShingle Altaisky Mikhail V.
Zolnikova Nadezhda N.
Kaputkina Natalia E.
Krylov Victor A.
Lozovik Yurii E.
Dattani Nikesh S.
Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots
EPJ Web of Conferences
author_facet Altaisky Mikhail V.
Zolnikova Nadezhda N.
Kaputkina Natalia E.
Krylov Victor A.
Lozovik Yurii E.
Dattani Nikesh S.
author_sort Altaisky Mikhail V.
title Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots
title_short Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots
title_full Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots
title_fullStr Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots
title_full_unstemmed Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots
title_sort decoherence and entanglement simulation in a model of quantum neural network based on quantum dots
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2016-01-01
description We present the results of the simulation of a quantum neural network based on quantum dots using numerical method of path integral calculation. In the proposed implementation of the quantum neural network using an array of single-electron quantum dots with dipole-dipole interaction, the coherence is shown to survive up to 0.1 nanosecond in time and up to the liquid nitrogen temperature of 77K.We study the quantum correlations between the quantum dots by means of calculation of the entanglement of formation in a pair of quantum dots on the GaAs based substrate with dot size of 100 ÷ 101 nanometer and interdot distance of 101 ÷ 102 nanometers order.
url http://dx.doi.org/10.1051/epjconf/201610802006
work_keys_str_mv AT altaiskymikhailv decoherenceandentanglementsimulationinamodelofquantumneuralnetworkbasedonquantumdots
AT zolnikovanadezhdan decoherenceandentanglementsimulationinamodelofquantumneuralnetworkbasedonquantumdots
AT kaputkinanataliae decoherenceandentanglementsimulationinamodelofquantumneuralnetworkbasedonquantumdots
AT krylovvictora decoherenceandentanglementsimulationinamodelofquantumneuralnetworkbasedonquantumdots
AT lozovikyuriie decoherenceandentanglementsimulationinamodelofquantumneuralnetworkbasedonquantumdots
AT dattaninikeshs decoherenceandentanglementsimulationinamodelofquantumneuralnetworkbasedonquantumdots
_version_ 1721232604112355328

Similar Items