NECI: N-Electron Configuration Interaction with 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, Jeszenski, Niklas Liebermann, Giovanni Li Manni, Alexander Y. Lozovoi,, Hongjun Luo, Dongxia Ma, Florian Merz, Catherine Overy

TL;DR
NECI is a highly scalable implementation of the FCIQMC algorithm that enables accurate quantum many-body calculations, including ground and excited states, with advanced features like spin adaptation and transcorrelated Hamiltonians, suitable for large-scale systems.
Contribution
The paper introduces NECI, a state-of-the-art, scalable FCIQMC software with new features such as partial determinism, spin adaptation, and support for transcorrelated Hamiltonians, enhancing quantum chemistry computations.
Findings
Efficiently scales to over 24,000 CPU cores.
Supports calculation of ground and excited states.
Includes advanced features like reduced density matrices and Green's functions.
Abstract
We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo 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 24000 CPU cores. In this paper, we describe the core functionalities of NECI and 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 to use a partially deterministic formulation of the algorithm, working in a spin-adapted basis or supporting transcorrelated Hamiltonians. NECI supports the FCIDUMP file…
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