2 papers
quant-ph2026
Reinforcement Learning for Quantum Network Control with Application-Driven Objectives
Guo Xian Yau, Alexandra Burushkina, Francisco Ferreira da Silva +3
Optimized control of quantum networks is essential for enabling distributed quantum applications with strict performance requirements. In near-term architectures with constrained h…
quant-ph2024
Hardware requirements for trapped-ion based verifiable blind quantum computing with a measurement-only client
Janice van Dam, Guus Avis, Tzula B Propp +4
In blind quantum computing, a user with a simple client device can perform a quantum computation on a remote quantum server such that the server cannot gain knowledge about the com…