Non-classical States of Light Generation via Strong-Field Processes and Applications in Quantum Key Distribution /

This doctoral thesis has a dual focus. Firstly, it studies the generation of non-classical states of light through strong-field processes, where light-matter interactions involve light intensities contending with the forces binding electrons to their nuclei. This exploration demonstrates the utility...

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Bibliografiske detaljer
Hovedforfatter: Rivera-Dean, Javier (Author)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Udgivelse:1st ed. 2024.
Serier:Springer Theses, Recognizing Outstanding Ph.D. Research,
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Online adgang:https://doi.org/10.1007/978-3-031-73769-5
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Beskrivelse
Summary:This doctoral thesis has a dual focus. Firstly, it studies the generation of non-classical states of light through strong-field processes, where light-matter interactions involve light intensities contending with the forces binding electrons to their nuclei. This exploration demonstrates the utility of strong-field phenomena in generating non-classical states of light, with properties dependent on specific dynamics and materials involved in the excitation. Secondly, it investigates the constraints and prerequisites of non-classical light sources—beyond those studied in the first part—for advancing quantum communication applications,specifically in quantum key distribution. The aim here is to create a secret key exclusively known by the communicating parties for encrypting and decrypting messages. As a whole, this work serves as a foundational step towards leveraging strong-field physics as a prospective tool for quantum information science applications, as well as displaying the advantages and limitations of photonic-based setups for quantum key distribution. With its very clear style of presentation, the book is an essential reference for future researchers working in this field.
Fysisk beskrivelse:XX, 300 p. 93 illus., 84 illus. in color. online resource.
ISBN:9783031737695
ISSN:2190-5061
DOI:10.1007/978-3-031-73769-5