[HTML][HTML] Recent developments in the PySCF program package
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 …
principles simulations of molecules and solids as well as accelerates the development of …
Quantum algorithms for quantum chemistry and quantum materials science
As we begin to reach the limits of classical computing, quantum computing has emerged as
a technology that has captured the imagination of the scientific world. While for many years …
a technology that has captured the imagination of the scientific world. While for many years …
Pushing the frontiers of density functionals by solving the fractional electron problem
Density functional theory describes matter at the quantum level, but all popular
approximations suffer from systematic errors that arise from the violation of mathematical …
approximations suffer from systematic errors that arise from the violation of mathematical …
Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry
Due to intense interest in the potential applications of quantum computing, it is critical to
understand the basis for potential exponential quantum advantage in quantum chemistry …
understand the basis for potential exponential quantum advantage in quantum chemistry …
The ITensor software library for tensor network calculations
ITensor is a system for programming tensor network calculations with an interface modeled
on tensor diagram notation, which allows users to focus on the connectivity of a tensor …
on tensor diagram notation, which allows users to focus on the connectivity of a tensor …
Hartree-Fock on a superconducting qubit quantum computer
Google AI Quantum and Collaborators*†, F Arute… - Science, 2020 - science.org
The simulation of fermionic systems is among the most anticipated applications of quantum
computing. We performed several quantum simulations of chemistry with up to one dozen …
computing. We performed several quantum simulations of chemistry with up to one dozen …
Deep-neural-network solution of the electronic Schrödinger equation
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 …
and the numerically exact full configuration-interaction method is exponentially expensive in …
Ab initio solution of the many-electron Schrödinger equation with deep neural networks
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 …
chemistry could be derived from first principles. Exact wave functions of interesting chemical …
Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution
The accurate computation of Hamiltonian ground, excited and thermal states on quantum
computers stands to impact many problems in the physical and computer sciences, from …
computers stands to impact many problems in the physical and computer sciences, from …
Emerging quantum computing algorithms for quantum chemistry
Digital quantum computers provide a computational framework for solving the Schrödinger
equation for a variety of many‐particle systems. Quantum computing algorithms for the …
equation for a variety of many‐particle systems. Quantum computing algorithms for the …