4 papers
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…
Deep Learning Framework for Enhanced Neutrino Reconstruction of Single-line Events in the ANTARES Telescope
A. Albert, S. Alves, M. André +137
We present the -fit algorithm designed to improve the reconstruction of neutrino events detected by a single line of the ANTARES underwater telescope, usually associated with lo…
gSeaGen code by KM3NeT: an efficient tool to propagate muons simulated with CORSIKA
S. Aiello, A. Albert, A. R. Alhebsi +260
The KM3NeT Collaboration has tackled a common challenge faced by the astroparticle physics community, namely adapting the experiment-specific simulation software to work with the C…
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…