Cost-effective ML-powered polarization-encoded quantum key distribution

Secure communications have become a requirement for virtually all kind of applications. Currently, two distant parties can generate shared random secret keys by using public key cryptography. However, quantum computing represents one of the greatest threats for the finite complexity of the mathemati...

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Autores: Ahmadian, Seyed Morteza|||0000-0002-1251-6288, Ruiz Ramírez, Marc|||0000-0001-6429-6347, Comellas Colomé, Jaume|||0000-0002-9129-0562, Velasco Esteban, Luis Domingo|||0000-0002-7345-296X
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/380010
Acceso en línea:https://hdl.handle.net/2117/380010
https://dx.doi.org/10.1109/JLT.2022.3157527
Access Level:acceso abierto
Palabra clave:Telecommunication -- Security measures
Machine learning
Quantum communication
Quantum cryptography
Polarization-encoded quantum key distribution
Telecomunicació -- Mesures de seguretat
Aprenentatge automàtic
Comunicació quàntica
Criptografia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Cost-effective ML-powered polarization-encoded quantum key distributionAhmadian, Seyed Morteza|||0000-0002-1251-6288Ruiz Ramírez, Marc|||0000-0001-6429-6347Comellas Colomé, Jaume|||0000-0002-9129-0562Velasco Esteban, Luis Domingo|||0000-0002-7345-296XTelecommunication -- Security measuresMachine learningQuantum communicationQuantum cryptographyPolarization-encoded quantum key distributionTelecomunicació -- Mesures de seguretatAprenentatge automàticComunicació quànticaCriptografiaÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadorsÀrees temàtiques de la UPC::Informàtica::Seguretat informàticaSecure communications have become a requirement for virtually all kind of applications. Currently, two distant parties can generate shared random secret keys by using public key cryptography. However, quantum computing represents one of the greatest threats for the finite complexity of the mathematics behind public key cryptography. In contrast, Quantum Key Distribution (QKD) relies on properties of quantum mechanics, which enables eavesdropping detection and guarantees the security of the key. Among QKD systems, polarization encoded QKD has been successfully tested in laboratory experiments and recently demonstrated in closed environments. The main drawback of QKD is its high cost, which comes, among others, from: i) the requirements for the quantum transmitters and receivers; and ii) the need of carefully selecting the fibers supporting the quantum channel to minimize the environmental effects that could dramatically change the polarization state of photons. In this paper, we propose a Machine Learning (ML) -based polarization tracking and compensation that is able to keep shared secret key exchange to high rates even under large fiber stressing events. Exhaustive results using both synthetic and experimental data show remarkable performance, which can simplify the design of both quantum transmitter and receiver, as well as enable the use of aerial optical cables, thus reducing total QKD system cost.This work was supported in part by the AEI IBON Project under Grant PID2020-114135RB-I00, and in part by the ICREA Institution.Peer ReviewedInstitute of Electrical and Electronics Engineers (IEEE)20222022-07-0120232023-01-12journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/380010https://dx.doi.org/10.1109/JLT.2022.3157527reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-114135RB-I00 AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5Gopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3800102026-05-27T15:37:01Z
dc.title.none.fl_str_mv Cost-effective ML-powered polarization-encoded quantum key distribution
title Cost-effective ML-powered polarization-encoded quantum key distribution
spellingShingle Cost-effective ML-powered polarization-encoded quantum key distribution
Ahmadian, Seyed Morteza|||0000-0002-1251-6288
Telecommunication -- Security measures
Machine learning
Quantum communication
Quantum cryptography
Polarization-encoded quantum key distribution
Telecomunicació -- Mesures de seguretat
Aprenentatge automàtic
Comunicació quàntica
Criptografia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
title_short Cost-effective ML-powered polarization-encoded quantum key distribution
title_full Cost-effective ML-powered polarization-encoded quantum key distribution
title_fullStr Cost-effective ML-powered polarization-encoded quantum key distribution
title_full_unstemmed Cost-effective ML-powered polarization-encoded quantum key distribution
title_sort Cost-effective ML-powered polarization-encoded quantum key distribution
dc.creator.none.fl_str_mv Ahmadian, Seyed Morteza|||0000-0002-1251-6288
Ruiz Ramírez, Marc|||0000-0001-6429-6347
Comellas Colomé, Jaume|||0000-0002-9129-0562
Velasco Esteban, Luis Domingo|||0000-0002-7345-296X
author Ahmadian, Seyed Morteza|||0000-0002-1251-6288
author_facet Ahmadian, Seyed Morteza|||0000-0002-1251-6288
Ruiz Ramírez, Marc|||0000-0001-6429-6347
Comellas Colomé, Jaume|||0000-0002-9129-0562
Velasco Esteban, Luis Domingo|||0000-0002-7345-296X
author_role author
author2 Ruiz Ramírez, Marc|||0000-0001-6429-6347
Comellas Colomé, Jaume|||0000-0002-9129-0562
Velasco Esteban, Luis Domingo|||0000-0002-7345-296X
author2_role author
author
author
dc.subject.none.fl_str_mv Telecommunication -- Security measures
Machine learning
Quantum communication
Quantum cryptography
Polarization-encoded quantum key distribution
Telecomunicació -- Mesures de seguretat
Aprenentatge automàtic
Comunicació quàntica
Criptografia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
topic Telecommunication -- Security measures
Machine learning
Quantum communication
Quantum cryptography
Polarization-encoded quantum key distribution
Telecomunicació -- Mesures de seguretat
Aprenentatge automàtic
Comunicació quàntica
Criptografia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
description Secure communications have become a requirement for virtually all kind of applications. Currently, two distant parties can generate shared random secret keys by using public key cryptography. However, quantum computing represents one of the greatest threats for the finite complexity of the mathematics behind public key cryptography. In contrast, Quantum Key Distribution (QKD) relies on properties of quantum mechanics, which enables eavesdropping detection and guarantees the security of the key. Among QKD systems, polarization encoded QKD has been successfully tested in laboratory experiments and recently demonstrated in closed environments. The main drawback of QKD is its high cost, which comes, among others, from: i) the requirements for the quantum transmitters and receivers; and ii) the need of carefully selecting the fibers supporting the quantum channel to minimize the environmental effects that could dramatically change the polarization state of photons. In this paper, we propose a Machine Learning (ML) -based polarization tracking and compensation that is able to keep shared secret key exchange to high rates even under large fiber stressing events. Exhaustive results using both synthetic and experimental data show remarkable performance, which can simplify the design of both quantum transmitter and receiver, as well as enable the use of aerial optical cables, thus reducing total QKD system cost.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-07-01
2023
2023-01-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/380010
https://dx.doi.org/10.1109/JLT.2022.3157527
url https://hdl.handle.net/2117/380010
https://dx.doi.org/10.1109/JLT.2022.3157527
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-114135RB-I00 AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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