CRYSTAL23: A program for computational solid state physics and chemistry

A Erba, JK Desmarais, S Casassa… - Journal of Chemical …, 2022 - ACS Publications
The Crystal program for quantum-mechanical simulations of materials has been bridging the
realm of molecular quantum chemistry to the realm of solid state physics for many years …

[HTML][HTML] Recent developments in the PySCF program package

Q Sun, X Zhang, S Banerjee, P Bao, M Barbry… - The Journal of …, 2020 - pubs.aip.org
P y SCF is a Python-based general-purpose electronic structure platform that supports first-
principles simulations of molecules and solids as well as accelerates the development of …

Pushing the frontiers of density functionals by solving the fractional electron problem

J Kirkpatrick, B McMorrow, DHP Turban, AL Gaunt… - Science, 2021 - science.org
Density functional theory describes matter at the quantum level, but all popular
approximations suffer from systematic errors that arise from the violation of mathematical …

Unbiasing fermionic quantum Monte Carlo with a quantum computer

WJ Huggins, BA O'Gorman, NC Rubin, DR Reichman… - Nature, 2022 - nature.com
Interacting many-electron problems pose some of the greatest computational challenges in
science, with essential applications across many fields. The solutions to these problems will …

Deep-neural-network solution of the electronic Schrödinger equation

J Hermann, Z Schätzle, F Noé - Nature Chemistry, 2020 - nature.com
The electronic Schrödinger equation can only be solved analytically for the hydrogen atom,
and the numerically exact full configuration-interaction method is exponentially expensive in …

OpenMolcas: From source code to insight

I Fdez. Galván, M Vacher, A Alavi… - Journal of chemical …, 2019 - ACS Publications
In this Article we describe the OpenMolcas environment and invite the computational
chemistry community to collaborate. The open-source project already includes a large …

Ab initio solution of the many-electron Schrödinger equation with deep neural networks

D Pfau, JS Spencer, AGDG Matthews… - Physical review research, 2020 - APS
Given access to accurate solutions of the many-electron Schrödinger equation, nearly all
chemistry could be derived from first principles. Exact wave functions of interesting chemical …

Pennylane: Automatic differentiation of hybrid quantum-classical computations

V Bergholm, J Izaac, M Schuld, C Gogolin… - arXiv preprint arXiv …, 2018 - arxiv.org
PennyLane is a Python 3 software framework for differentiable programming of quantum
computers. The library provides a unified architecture for near-term quantum computing …

Artificial intelligence for science in quantum, atomistic, and continuum systems

X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie… - arXiv preprint arXiv …, 2023 - arxiv.org
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …

Tensorflow quantum: A software framework for quantum machine learning

M Broughton, G Verdon, T McCourt, AJ Martinez… - arXiv preprint arXiv …, 2020 - arxiv.org
We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of
hybrid quantum-classical models for classical or quantum data. This framework offers high …