10.26434/chemrxiv.7749485.v3
Yann Garniron
Thomas Applencourt
Kevin Gasperich
Anouar Benali
Anthony Ferte
Julien Paquier
Barthelemy Pradines
Roland Assaraf
Peter Reinhardt
Julien Toulouse
Pierrette Barbaresco
Nicolas Renon
Gregoire David
Jean-Paul Malrieu
Mickael Veril
Michel Caffarel
Pierre-Francois Loos
Emmanuel Giner
Anthony Scemama
Quantum Package 2.0: An Open-Source Determinant-Driven Suite of Programs
2019
ChemRxiv
quantum package
software layer
configuration interaction
selected configuration interaction
computational chemistry
theoretical chemistry
density-functional theory
full configuration interaction
multireference perturbation theory
2019-04-24 20:11:27
article
https://chemrxiv.org/articles/preprint/Quantum_Package_2_0_An_Open-Source_Determinant-Driven_Suite_of_Programs/7749485
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<p>Quantum Package is an open-source programming environment for quantum chemistry specially designed for wave function methods. Its main goal is the development of determinant-driven selected configuration interaction (sCI) methods and multi-reference second-order perturbation theory (PT2). The determinant-driven framework allows
the programmer to include any arbitrary set of determinants in the reference space, hence providing greater method-
ological freedoms. The sCI method implemented in Quantum Package is based on the CIPSI (Configuration Interaction
using a Perturbative Selection made Iteratively) algorithm which complements the variational sCI energy with a PT2
correction. Additional external plugins have been recently added to perform calculations with multireference coupled
cluster theory and range-separated density-functional theory. All the programs are developed with the IRPF90 code
generator, which simplifies collaborative work and the development of new features. Quantum Package strives to
allow easy implementation and experimentation of new methods, while making parallel computation as simple and
efficient as possible on modern supercomputer architectures. Currently, the code enables, routinely, to realize runs on
roughly 2 000 CPU cores, with tens of millions of determinants in the reference space. Moreover, we have been able
to push up to 12 288 cores in order to test its parallel efficiency. In the present manuscript, we also introduce some key
new developments: i) a renormalized second-order perturbative correction for efficient extrapolation to the full CI
limit, and ii) a stochastic version of the CIPSI selection performed simultaneously to the PT2 calculation at no extra
cost. </p>
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