Host: University of Naples Federico II (UNINA), Italy
PhD Topic
Objectives – (a) Defining metrics to quantify quantum network parameters: Metrics will include ρ= {Re, F, L, Tc}, representing entanglement rate, fidelity, latency, and coherence time, for software abstractions of network-aware distributed computation design (b) Designing a software-driven framework for dynamically adapting application requirements, entanglement usage and execution order based on network conditions, by solving a multi-objective optimization problem minT {C(T ), D(T )}, where C(T ) is the computational complexity and D(T ) the network-induced delay. (c) Integration of the proposed software abstractions within a quantum network simulator (e.g., NetSquid or similar) or a quantum network testbed for enabling realistic validation of the carried design.
ERs – A comprehensive network-aware quantum software framework incorporating metrics to adaptively optimize entanglement usage and circuit performance. Algorithms for adaptive scheduling and execution of quantum applications under constrained entanglement resources. Validation will be performed in simulated and real-world network environments, promoting a quantum culture that bridges computing and network challenges to enable efficient, collaborative, and practical advancements in quantum network applications, such as distributed quantum computing.
Planned Secondments– S13: VSB, Prof Voznok, M13, 3 months, study of trade-offs between computational and communication complexity. S14: ICHEC, Dr Kannan, M25, 3 months, algorithm validation and performance evaluation via quantum network simulators.