[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
[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 …
Advances in molecular quantum chemistry contained in the Q-Chem 4 program package
A summary of the technical advances that are incorporated in the fourth major release of the
q-Chem quantum chemistry program is provided, covering approximately the last seven …
q-Chem quantum chemistry program is provided, covering approximately the last seven …
PySCF: the Python‐based simulations of chemistry framework
Python‐based simulations of chemistry framework (PySCF) is a general‐purpose electronic
structure platform designed from the ground up to emphasize code simplicity, so as to …
structure platform designed from the ground up to emphasize code simplicity, so as to …
Multireference approaches for excited states of molecules
Understanding the properties of electronically excited states is a challenging task that
becomes increasingly important for numerous applications in chemistry, molecular physics …
becomes increasingly important for numerous applications in chemistry, molecular physics …
A literature survey of low‐rank tensor approximation techniques
During the last years, low‐rank tensor approximation has been established as a new tool in
scientific computing to address large‐scale linear and multilinear algebra problems, which …
scientific computing to address large‐scale linear and multilinear algebra problems, which …
The density matrix renormalization group in chemistry and molecular physics: Recent developments and new challenges
In the past two decades, the density matrix renormalization group (DMRG) has emerged as
an innovative new method in quantum chemistry relying on a theoretical framework very …
an innovative new method in quantum chemistry relying on a theoretical framework very …
Reliably assessing the electronic structure of cytochrome P450 on today's classical computers and tomorrow's quantum computers
An accurate assessment of how quantum computers can be used for chemical simulation,
especially their potential computational advantages, provides important context on how to …
especially their potential computational advantages, provides important context on how to …
The ground state electronic energy of benzene
We report on the findings of a blind challenge devoted to determining the frozen-core, full
configuration interaction (FCI) ground-state energy of the benzene molecule in a standard …
configuration interaction (FCI) ground-state energy of the benzene molecule in a standard …
Block2: A comprehensive open source framework to develop and apply state-of-the-art DMRG algorithms in electronic structure and beyond
block2 is an open source framework to implement and perform density matrix
renormalization group and matrix product state algorithms. Out-of-the-box it supports the …
renormalization group and matrix product state algorithms. Out-of-the-box it supports the …