2 papers
quant-ph2026
Forecasting Quantum Observables: A Compressed Sensing Approach with Performance Guarantees
VÃctor Valls, Albert Akhriev, Olatz Sanz Larrarte +5
Data-driven extrapolation methods aim to extend the dynamics of quantum observables from measurements, but they often lack guarantees on prediction accuracy. We introduce a framewo…
quant-ph2026
Noise mitigation of quantum observables via learning from Hamiltonian symmetry decays
Javier Oliva del Moral, Olatz Sanz Larrarte, Joana Fraxanet +2
We present a new quantum error mitigation technique (QEM), called GUiding Extrapolations from Symmetry decayS (GUESS), which exploits Hamiltonian symmetries to improve accuracy of…