The thesis studies how to make quantum networks operate reliably under realistic hardware constraints, using a cross-layer approach across the network, link, and node layers under partial knowledge, time-varying links, and programmable hardware. It contributes: (i) routing for heterogeneous quantum repeaters, including a grey-box paradigm using only topology and end-to-end estimates; (ii) a calibration-aware link model with analytically optimal schedules for linear chains (the Quantum Link Orchestration theorem and Recursive Threshold Allocation algorithm) and a greedy orchestration strategy for general topologies; and (iii) an instruction-set architecture for NV-centre-based programmable quantum repeater nodes.

Making Quantum Networks Work: Routing, Calibration, and Programmable Quantum Repeaters

KUMAR, VINAY
2026

Abstract

The thesis studies how to make quantum networks operate reliably under realistic hardware constraints, using a cross-layer approach across the network, link, and node layers under partial knowledge, time-varying links, and programmable hardware. It contributes: (i) routing for heterogeneous quantum repeaters, including a grey-box paradigm using only topology and end-to-end estimates; (ii) a calibration-aware link model with analytically optimal schedules for linear chains (the Quantum Link Orchestration theorem and Recursive Threshold Allocation algorithm) and a greedy orchestration strategy for general topologies; and (iii) an instruction-set architecture for NV-centre-based programmable quantum repeater nodes.
23-giu-2026
Inglese
cross-layer design
entanglement routing
instruction-set architecture
quantum internet
quantum link calibration
quantum networks
quantum repeaters
Bruno, Raffaele
Cicconetti, Claudio
Passarella, Andrea
File in questo prodotto:
File Dimensione Formato  
PhD_thesis_PDFA.pdf

accesso aperto

Licenza: Creative Commons
Dimensione 3.75 MB
Formato Adobe PDF
3.75 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/20.500.14242/374291
Il codice NBN di questa tesi è URN:NBN:IT:UNIPI-374291