Quantum machine learning of molecular energies with hybrid quantum-neural wavefunction
The combination of quantum circuits and neural networks allows efficient quantum machine learning of molecular wavefunction.
Authors
- Shi‐Xin Zhang (ORCID: https://orcid.org/0000-0003-0347-9750)
- Jianpeng Chen (ORCID: https://orcid.org/0000-0001-7599-9961)
- Weitang Li (ORCID: https://orcid.org/0000-0002-8739-641X)
- Zhigang Shuai (ORCID: https://orcid.org/0000-0003-3867-2331)
- Chen Gong (ORCID: https://orcid.org/0000-0002-5480-4595)
- Zirui Sheng (ORCID: https://orcid.org/0009-0007-6057-5024)
Institutions
- Chinese University of Hong Kong, Shenzhen (CN)
- Institute of Physics (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00222b
- Citations
- 1
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- National Natural Science Foundation of China