3 papers
quant-ph2025
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…
quant-ph2025
Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping
Alexander Gresch, Martin Kliesch
Estimation of the energy of quantum many-body systems is a paradigmatic task in various research fields. In particular, efficient energy estimation may be crucial in achieving a qu…
quant-ph2025
Reducing the sampling complexity of energy estimation in quantum many-body systems using empirical variance information
Alexander Gresch, UÄur Tepe, Martin Kliesch
We consider the problem of estimating the energy of a quantum state preparation for a given Hamiltonian in Pauli decomposition. For various quantum algorithms, in particular in the…