Entanglement is an important resource for quantum technologies. There are many ways
quantum systems can be entangled, ranging from the two-qubit case to entanglement in …

The resemblance between the methods used in quantum-many body physics and in
machine learning has drawn considerable attention. In particular, tensor networks (TNs) and …

Abstract mVMC (many-variable Variational Monte Carlo) is an open-source software
package based on the variational Monte Carlo method applicable for a wide range of …

Correlator product states (CPS) are a powerful and very broad class of states for quantum
lattice systems whose (unnormalised) amplitudes in a fixed basis can be sampled exactly …

An accurate calculation of the properties of quantum many-body systems is one of the most
important yet intricate challenges of modern physics and computer science. In recent years …

Google's quantum supremacy announcement has received broad questions from academia
and industry due to the debatable estimate of 10,000 years' running time for the classical …

Classical simulation of quantum computation is necessary for studying the numerical
behavior of quantum algorithms, as there does not yet exist a large viable quantum …

Quantum fluctuations from frustration can trigger quantum spin liquids (QSLs) at zero
temperature. However, it is unclear how thermal fluctuations affect a QSL. We employ state …

Mathematical open problems in projected entangled pair states | Revista Matemática
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Automated code generation and performance enhancements for sparse tensor algebra have
become essential in many real-world applications, such as quantum computing, physical …