Coupled-cluster (CC) methods constitute a hierarchy of ab initio approaches for the accurate solution of the quantum many-body problem. They rest on an exponential parametrisation of the many-particle ...

Scientists use quantum many-body data and machine learning to boost density functional theory accuracy for chemistry and materials science. (Nanowerk News) A new trick for modeling molecules with ...

The quantum many body problem has been at the heart of much of theoretical and experimental physics over the past few decades. Even though we have understood the fundamental laws that govern the ...

The team successfully simulated many-body quantum chaos on a 91-qubit superconducting quantum processor using dual-unitary (DU) circuits. The DU circuits contain gates that exhibit unitarity in both ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Four lectures selected from those delivered at the Latin American School of Physics held at the University of Mexico, Jul.-Aug., 1965, and first published in 1967 under title: Many-body problems and ...