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NECI: <i>N</i>-Electron Configuration Interaction with an emphasis on state-of-the-art stochastic methods

Kai Guther, Robert J. Anderson, Nick S. Blunt, Nikolay A. Bogdanov, Deidre Cleland, Nike Dattani, Werner Dobrautz, Khaldoon Ghanem, Peter Jeszenszki, Niklas Liebermann, Giovanni Li Manni, Alexander Y. Lozovoi, Hongjun Luo, Dongxia Ma, Florian Merz, Catherine Overy, Markus Rampp, Pradipta Kumar Samanta, Lauretta R. Schwarz, James J. Shepherd, Simon D. Smart, Eugenio Vitale, Oskar Weser, George H. Booth, Ali Alavi

2020The Journal of Chemical Physics99 citationsDOIOpen Access PDF

Abstract

We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utilizes a very powerful parallelization and scales efficiently to more than 24 000 central processing unit cores. In this paper, we describe the core functionalities of NECI and its recent developments. This includes the capabilities to calculate ground and excited state energies, properties via the one- and two-body reduced density matrices, as well as spectral and Green's functions for ab initio and model systems. A number of enhancements of the bare FCIQMC algorithm are available within NECI, allowing us to use a partially deterministic formulation of the algorithm, working in a spin-adapted basis or supporting transcorrelated Hamiltonians. NECI supports the FCIDUMP file format for integrals, supplying a convenient interface to numerous quantum chemistry programs, and it is licensed under GPL-3.0.

Topics & Concepts

Computer scienceFull configuration interactionHamiltonian (control theory)Ab initioQuantumInterface (matter)Computational scienceMonte Carlo methodStatistical physicsExcited stateAlgorithmDensity matrixBasis (linear algebra)Quantum Monte CarloStochastic processConfiguration interactionMulti-core processorGround stateMatrix (chemical analysis)Sparse matrixEigenvalues and eigenvectorsCore (optical fiber)Sampling (signal processing)Quantum systemWave functionTheoretical computer scienceExperimental dataHamiltonian matrixState (computer science)Hybrid Monte CarloBasis functionAdvanced Chemical Physics StudiesMachine Learning in Materials ScienceSpectroscopy and Quantum Chemical Studies