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Intrusion Detection Quantum Sensor Networks

This paper proposes a perimeter detection scheme based on the quantum physical properties of photons. Existing perimeter intrusion detection schemes, if using light, rely on the classical properties of light only. Our quantum sensor network uses the quantum property of spatial superposition of photo...

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Detalles Bibliográficos
Autores principales: Nagy, Marius, Nagy, Naya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654050/
https://www.ncbi.nlm.nih.gov/pubmed/36365791
http://dx.doi.org/10.3390/s22218092
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author Nagy, Marius
Nagy, Naya
author_facet Nagy, Marius
Nagy, Naya
author_sort Nagy, Marius
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description This paper proposes a perimeter detection scheme based on the quantum physical properties of photons. Existing perimeter intrusion detection schemes, if using light, rely on the classical properties of light only. Our quantum sensor network uses the quantum property of spatial superposition of photons, meaning that a photon can simultaneously follow two different paths after going through a beam splitter. Using multiple Mach–Zehnder interferometers, an entire web of paths can be generated, such that one single photon occupies them all. If an intruder violates this web in some arbitrary point, the entire photon superposition is destroyed, the photon does not self-interfere any more and this event is detected by measurements. For one single photon, the intruder detection probability is limited theoretically but can be increased arbitrarily with the usage of a sequence of photons. We show both theoretical bounds as well as practical results of the proposed schemes. The practical results are obtained by simulation experiments on IBM Quantum platforms. The benefits of our quantum approach are: low power, invisibility to potential intruders, scalability and easy practical implementation.
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spelling pubmed-96540502022-11-15 Intrusion Detection Quantum Sensor Networks Nagy, Marius Nagy, Naya Sensors (Basel) Article This paper proposes a perimeter detection scheme based on the quantum physical properties of photons. Existing perimeter intrusion detection schemes, if using light, rely on the classical properties of light only. Our quantum sensor network uses the quantum property of spatial superposition of photons, meaning that a photon can simultaneously follow two different paths after going through a beam splitter. Using multiple Mach–Zehnder interferometers, an entire web of paths can be generated, such that one single photon occupies them all. If an intruder violates this web in some arbitrary point, the entire photon superposition is destroyed, the photon does not self-interfere any more and this event is detected by measurements. For one single photon, the intruder detection probability is limited theoretically but can be increased arbitrarily with the usage of a sequence of photons. We show both theoretical bounds as well as practical results of the proposed schemes. The practical results are obtained by simulation experiments on IBM Quantum platforms. The benefits of our quantum approach are: low power, invisibility to potential intruders, scalability and easy practical implementation. MDPI 2022-10-22 /pmc/articles/PMC9654050/ /pubmed/36365791 http://dx.doi.org/10.3390/s22218092 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nagy, Marius
Nagy, Naya
Intrusion Detection Quantum Sensor Networks
title Intrusion Detection Quantum Sensor Networks
title_full Intrusion Detection Quantum Sensor Networks
title_fullStr Intrusion Detection Quantum Sensor Networks
title_full_unstemmed Intrusion Detection Quantum Sensor Networks
title_short Intrusion Detection Quantum Sensor Networks
title_sort intrusion detection quantum sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654050/
https://www.ncbi.nlm.nih.gov/pubmed/36365791
http://dx.doi.org/10.3390/s22218092
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