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quant-ph2026
Exploiting overcompleteness of Platonic-solid POVMs for shadow estimation
Dario Melegari, Stefano Mangini, Keijo Korhonen +2
Accurately estimating expectation values of observables from a finite number of measurement shots is a central challenge in quantum information science. Informationally overcomplet…
quant-ph2026
Characterization of Unlearnable Noise with Mid-Circuit-Measurement-Based Cycle Benchmarking
M. H. Cheng, Stefano Mangini, V. Bartsch +4
Noise characterization of multi-qubit entangling Clifford operations is a key practical bottleneck for quantum error mitigation and for the calibration, validation, and optimizatio…
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…