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quant-ph2025
Improving shadow estimation with locally-optimal dual frames
Keijo Korhonen, Stefano Mangini, Joonas Malmi +2
Accurate estimation of observables in quantum systems is a central challenge in quantum information science, yet practical implementations are fundamentally constrained by the limi…
quant-ph2025
TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
Akash Kundu, Stefano Mangini
Variational quantum algorithms hold the promise to address meaningful quantum problems already on noisy intermediate-scale quantum hardware. In spite of the promise, they face the…