Clifford augmented density matrix renormalization group for <i>ab initio</i> quantum chemistry
The recently proposed Clifford augmented density matrix renormalization group (CA-DMRG) method seamlessly integrates Clifford circuits with matrix product states and takes advantage of the expression power from both. CA-DMRG has been shown to be able to achieve higher accuracy than standard DMRG on commonly used lattice models, with only moderate computational overhead compared to the latter. In this work, we propose an efficient scheme in CA-DMRG to deal with ab initio quantum chemistry Hamiltonians and apply it to study several molecular systems. Our numerical results show that CA-DMRG can reach higher accuracy than DMRG using the same bond dimension, pointing out a promising route to push the boundary of solving ab initio quantum chemistry with strong static correlations.
Authors
- Honghui Shang (ORCID: https://orcid.org/0000-0003-4957-4251)
- Chu Guo (ORCID: https://orcid.org/0000-0002-3411-3076)
- Jinlong Yang (ORCID: https://orcid.org/0000-0002-5651-5340)
- Lizhong Fu (ORCID: https://orcid.org/0009-0000-4463-2454)
Institutions
- University of Science and Technology of China (CN)
- National University of Defense Technology (CN)
Publication Details
- Journal
- Physical review. B./Physical review. B
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1103/4ng4-vzz6
- Citations
- 2
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 1.04