The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The ab-initio density matrix renormalization group in practice
Abstract
The ab-initio density matrix renormalization group (DMRG) is a tool that can be applied to a wide variety of interesting problems in quantum chemistry. Here, we examine the density matrix renormalization group from the vantage point of the quantum chemistry user. What kinds of problems is the DMRG well-suited to? What are the largest systems that can be treated at practical cost? What sort of accuracies can be obtained, and how do we reason about the computational difficulty in different molecules? By examining a diverse benchmark set of molecules: π-electron systems, benchmark main-group and transition metal dimers, and the Mn-oxo-salen and Fe-porphine organometallic compounds, we provide some answers to these questions, and show how the density matrix renormalization group is used in practice.
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Cites
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The density-matrix renormalization group in the age of matrix product states
Schollwöck, U. (2011) · Annals of Physics · doi:10.1016/j.aop.2010.09.012 · Cited by 4,818
The Density Matrix Renormalization Group in Quantum Chemistry
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Self-citationAb initio quantum chemistry using the density matrix renormalization group
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Studying Two-Dimensional Systems with the Density Matrix Renormalization Group
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Analytic response theory for the density matrix renormalization group
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Self-citationNakatani, N., Wouters, S., Van Neck, D., & Chan, G. K.-L. (2014) · The Journal of Chemical Physics · doi:10.1063/1.4860375 · Cited by 59
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McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S. C., & Yuan, X. (2020) · Reviews of Modern Physics · doi:10.1103/revmodphys.92.015003 · Cited by 1,621
Quantum Chemistry in the Age of Quantum Computing
Cao, Y., Romero, J., Olson, J. P., Degroote, M., Johnson, P. D., Kieferová, M., Kivlichan, I. D., Menke, T., Peropadre, B., Sawaya, N. P. D., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00803 · Cited by 1,560
The Variational Quantum Eigensolver: A review of methods and best practices
Tilly, J., Chen, H., Cao, S., Picozzi, D., Setia, K., Li, Y., Grant, E., Wossnig, L., Rungger, I., Booth, G. H., et al. (2022) · Physics Reports · doi:10.1016/j.physrep.2022.08.003 · Cited by 1,031
Quantum Algorithms for Quantum Chemistry and Quantum Materials Science
Bauer, B., Bravyi, S., Motta, M., & Chan, G. K.-L. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00829 · Cited by 848
Self-citationBaiardi, A., & Reiher, M. (2020) · The Journal of Chemical Physics · doi:10.1063/1.5129672 · Cited by 306
Metadata
- Authors
- Olivares-Amaya, R., Hu, W., Nakatani, N., Sharma, S., Yang, J., & Chan, G. K.-L.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2015-01-15
- Volume
- 142
- Issue
- 3
- Pages
- 034102-034102
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W1971392379
- Cited by
- 363
- References
- 8
- FWCI
- 15.96
- Type
- journal article
- Language
- en
- Open access
- closed
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