The next generation of wireless communication systems will be characterized by ever-increasing computational demands and complex data processing requirements. Quantum computing and quantum communications, underpinned by the principles of quantum mechanics, promise to significantly enhance processing capabilities compared to conventional classical approaches. This paradigm shift presents novel challenges that demand sophisticated strategies to ensure a suitable integration. As a result, this thesis focuses on addressing these challenges from anarchitectural stand point, proposing and analyzing various strategies to incorporate quantum computing into future wireless communication systems. Moreover, this work delves into the entanglement distribution problem with the primary goal of optimizing the teleportation rate, a crucial aspect of quantum communication efficiency.

Quantum-Aided modeling and design techniques for advanced wireless network architectures

Vista, Francesco
2024

Abstract

The next generation of wireless communication systems will be characterized by ever-increasing computational demands and complex data processing requirements. Quantum computing and quantum communications, underpinned by the principles of quantum mechanics, promise to significantly enhance processing capabilities compared to conventional classical approaches. This paradigm shift presents novel challenges that demand sophisticated strategies to ensure a suitable integration. As a result, this thesis focuses on addressing these challenges from anarchitectural stand point, proposing and analyzing various strategies to incorporate quantum computing into future wireless communication systems. Moreover, this work delves into the entanglement distribution problem with the primary goal of optimizing the teleportation rate, a crucial aspect of quantum communication efficiency.
2024
Inglese
Grieco, Luigi Alfredo
Carpentieri, Mario
Politecnico di Bari
File in questo prodotto:
File Dimensione Formato  
36 ciclo-Vista Francesco.pdf

accesso aperto

Dimensione 5.02 MB
Formato Adobe PDF
5.02 MB Adobe PDF Visualizza/Apri

I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/64909
Il codice NBN di questa tesi è URN:NBN:IT:POLIBA-64909