Hybrid quantum-classical machine learning potential with variational quantum circuits
Open Access
- 11 November 2026
- journal article
- Published by Royal Society of Chemistry (RSC) in RSC Advances
- Vol. 16 (49) , 66322-66335
Abstract
Equivariant networks with variational quantum circuit readouts yield an accurate hybrid potential for liquid Si, transferable from 3000 to 2000 K.Keywords
Funding Information
- Ministry of Science and ICT, South Korea (2020M3H3A1110365)
- Ministry of Science and ICT, South Korea (RS-2022-NR072058)
- Ministry of Science and ICT, South Korea (RS-2023-00250313)
- Ministry of Science and ICT, South Korea (RS-2023-00283929)
- Ministry of Science and ICT, South Korea (RS-2024-00346451)
- Ministry of Science and ICT, South Korea (RS-2024-00407680)
- Korea Institute of Science and Technology Information (KSC-2023-CRE-0059)
- Korea Institute of Science and Technology Information (KSC-2023-CRE-0311)
- Korea Institute of Science and Technology Information (KSC-2023-CRE-0355)
- Korea Institute of Science and Technology Information (KSC-2023-CRE-0454)
- Korea Institute of Science and Technology Information (KSC-2023-CRE-0472)
- Korea Institute of Science and Technology Information (KSC-2023-CRE-0502)
- Korea Institute of Science and Technology Information (KSC-2024-CRE-0358)
- Korea Institute of Science and Technology Information (KSC-2025-CRE-0122)
- Korea Institute of Science and Technology Information (KSC-2025-CRE-0125)
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