15 citations · 35 across the 5 of their papers we have counts for
5 papers
Reducing the sampling complexity of energy estimation in quantum many-body systems using empirical variance information
Alexander Gresch, Uğur 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…
Solving an Industrially Relevant Quantum Chemistry Problem on Quantum Hardware
Ludwig Nützel, Alexander Gresch, Lukas Hehn +10
Quantum chemical calculations are among the most promising applications for quantum computing. Implementations of dedicated quantum algorithms on available quantum hardware were so…
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…
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…
Scalable approach to many-body localization via quantum data
Alexander Gresch, Lennart Bittel, Martin Kliesch
We are interested in how quantum data can allow for practical solutions to otherwise difficult computational problems. A notoriously difficult phenomenon from quantum many-body phy…