9 citations · 26 across the 11 of their papers we have counts for
11 papers
Forecasting Quantum Observables: A Compressed Sensing Approach with Performance Guarantees
Víctor 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…
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…
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…
Quantum Theory and Application of Contextual Optimal Transport
Nicola Mariella, Albert Akhriev, Francesco Tacchino +9
Optimal Transport (OT) has fueled machine learning (ML) across many domains. When paired data measurements are coupled to covariates, a challenging 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…
Escaping barren plateaus in approximate quantum compiling
Niall F. Robertson, Albert Akhriev, Jiri Vala +1
Quantum compilation provides a method to translate quantum algorithms at a high level of abstraction into their implementations as quantum circuits on real hardware. One approach t…