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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-ph2025
Approximate Quantum Compiling for Quantum Simulation: A Tensor Network based approach
Niall F. Robertson, Albert Akhriev, Jiri Vala +1
We introduce AQCtensor, a novel algorithm to produce short-depth quantum circuits from Matrix Product States (MPS). Our approach is specifically tailored to the preparation of quan…
quant-ph2024
Tensor Network enhanced Dynamic Multiproduct Formulas
Niall F. Robertson, Bibek Pokharel, Bryce Fuller +10
Tensor networks and quantum computation are two of the most powerful tools for the simulation of quantum many-body systems. Rather than viewing them as competing approaches, here w…