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Psi4 1.1: An Open-Source Electronic Structure Program Emphasizing Automation, Advanced Libraries, and Interoperability
Open accessAbstract
Psi4 is an ab initio electronic structure program providing methods such as Hartree-Fock, density functional theory, configuration interaction, and coupled-cluster theory. The 1.1 release represents a major update meant to automate complex tasks, such as geometry optimization using complete-basis-set extrapolation or focal-point methods. Conversion of the top-level code to a Python module means that Psi4 can now be used in complex workflows alongside other Python tools. Several new features have been added with the aid of libraries providing easy access to techniques such as density fitting, Cholesky decomposition, and Laplace denominators. The build system has been completely rewritten to simplify interoperability with independent, reusable software components for quantum chemistry. Finally, a wide range of new theoretical methods and analyses have been added to the code base, including functional-group and open-shell symmetry adapted perturbation theory, density-fitted coupled cluster with frozen natural orbitals, orbital-optimized perturbation and coupled-cluster methods (e.g., OO-MP2 and OO-LCCD), density-fitted multiconfigurational self-consistent field, density cumulant functional theory, algebraic-diagrammatic construction excited states, improvements to the geometry optimizer, and the "X2C" approach to relativistic corrections, among many other improvements.
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VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Ab initio quantum chemistry using the density matrix renormalization group
White, S. R., & Martin, R. L. (1999) · The Journal of Chemical Physics · doi:10.1063/1.478295 · Cited by 558
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Recent developments in the P y SCF program package
Sun, Q., Zhang, X., Banerjee, S., Bao, P., Barbry, M., Blunt, N. S., Bogdanov, N. A., Booth, G. H., Chen, J., Cui, Z.-H., et al. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0006074 · Cited by 1,259
Self-citationPennyLane: Automatic differentiation of hybrid quantum-classical computations
Bergholm, V., Izaac, J., Schuld, M., Gogolin, C., Ahmed, S., Ajith, V., Alam, M. S., Alonso-Linaje, G., AkashNarayanan, B., Asadi, A., et al. (2018) · arXiv · doi:10.48550/arxiv.1811.04968 · Cited by 732
Generalized Unitary Coupled Cluster Wave functions for Quantum Computation
Lee, J., Huggins, W. J., Head-Gordon, M., & Whaley, K. B. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b01004 · Cited by 432
Najibi, A., & Goerigk, L. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00842 · Cited by 320
Subspace-search variational quantum eigensolver for excited states
Nakanishi, K. M., Mitarai, K., & Fujii, K. (2019) · Physical Review Research · doi:10.1103/physrevresearch.1.033062 · Cited by 337
Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers
Huggins, W. J., McClean, J. R., Rubin, N. C., Jiang, Z., Wiebe, N., Whaley, K. B., & Babbush, R. (2021) · npj Quantum Information · doi:10.1038/s41534-020-00341-7 · Cited by 256
Low-cost error mitigation by symmetry verification
Bonet-Monroig, X., Sagastizabal, R., Singh, M., & O'Brien, T. E. (2018) · Physical Review A · doi:10.1103/physreva.98.062339 · Cited by 250
Accurate molecular polarizabilities with coupled cluster theory and machine learning
Wilkins, D. M., Grisafi, A., Yang, Y., Lao, K. U., DiStasio, R. A., & Ceriotti, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1816132116 · Cited by 204
A Multireference Quantum Krylov Algorithm for Strongly Correlated Electrons
Stair, N. H., Huang, R., & Evangelista, F. A. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b01125 · Cited by 183
Self-citationEfficient quantum measurement of Pauli operators in the presence of finite sampling error
Crawford, O., Straaten, B. V., Wang, D., Parks, T., Campbell, E., & Brierley, S. (2021) · Quantum · doi:10.22331/q-2021-01-20-385 · Cited by 188
Application of fermionic marginal constraints to hybrid quantum algorithms
Rubin, N. C., Babbush, R., & McClean, J. (2018) · New Journal of Physics · doi:10.1088/1367-2630/aab919 · Cited by 152
A non-orthogonal variational quantum eigensolver
Huggins, W. J., Lee, J., Baek, U., O’Gorman, B., & Whaley, K. B. (2020) · New Journal of Physics · doi:10.1088/1367-2630/ab867b · Cited by 148
Measurements as a roadblock to near-term practical quantum advantage in chemistry: resource analysis
Gonthier, J. F., Radin, M. D., Buda, C., Doskocil, E. J., Abuan, C. M., & Romero, J. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.033154 · Cited by 120
Self-citationMeasurement reduction in variational quantum algorithms
Zhao, A., Tranter, A., Kirby, W. M., Ung, S. F., Miyake, A., & Love, P. J. (2020) · Physical Review A · doi:10.1103/physreva.101.062322 · Cited by 121
$O(N^3)$ Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians
Gokhale, P., Angiuli, O., Ding, Y., Gui, K., Tomesh, T., Suchara, M., Martonosi, M., & Chong, F. T. (2020) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2020.3035814 · Cited by 104
Carmona, D. J., Jaque, P., & Vöhringer-Martinez, E. (2020) · Theoretical Chemistry Accounts · doi:10.1007/s00214-020-02607-x · Cited by 18
CO 2 on Graphene: Benchmarking Computational Approaches to Noncovalent Interactions
Ehlert, C., Piras, A., & Gryn’ova, G. (2023) · ACS Omega · doi:10.1021/acsomega.3c03251 · Cited by 15
Quantum computation of eigenvalues within target intervals
Jensen, P. W. K., Kristensen, L. B., Kottmann, J. S., & Aspuru-Guzik, A. (2021) · Quantum Science and Technology · doi:10.1088/2058-9565/abc096 · Cited by 13
Metadata
- Authors
- Parrish, R. M., Burns, L. A., Smith, D. G. A., Simmonett, A. C., DePrince, A. E., Hohenstein, E. G., Bozkaya, U., Sokolov, A. Y., Di Remigio, R., Richard, R. M., Gonthier, J. F., James, A. M., McAlexander, H. R., Kumar, A., Saitow, M., Wang, X., Pritchard, B. P., Verma, P., Schaefer, H. F., Patkowski, K., King, R. A., Valeev, E. F., Evangelista, F. A., Turney, J. M., Crawford, T. D., & Sherrill, C. D.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-06-06
- Volume
- 13
- Issue
- 7
- Pages
- 3185-3197
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2613386458
- Cited by
- 1,249
- References
- 2
- FWCI
- 75.12
- Type
- journal article
- Language
- en
- Open access
- green
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