34th IUPAP Conference on Computational Physics（CCP2023）
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Session Details

Contributed talks (Machine learning/Quantum computing)Machine learning, data science, and quantum computing

Parallel session 1

Sat. Aug 5, 2023 2:00 PM - 3:20 PM JST
Sat. Aug 5, 2023 5:00 AM - 6:20 AM UTC
301 (Room 2) 3F
Chair: Yusuke Nomura (Keio University)
2:00 PM - 2:20 PM JST(5:00 AM - 5:20 AM UTC)

[C05-1-01]Quantum-circuit algorithms: many-body topological invariant and Majorana zero mode

*Takanori Sugimoto1,2,3 (1. Center for Quantum Information and Quantum Biology, Osaka University (Japan), 2. Advanced Science Research Center, Japan Atomic Energy Agency (Japan), 3. Computational Materials Science Research Team, Riken Center for Computational Science (Japan))
On-demand video
2:20 PM - 2:40 PM JST(5:20 AM - 5:40 AM UTC)

[C05-1-02]Dynamical mean-field theory for the Hubbard-Holstein model on a quantum device

*Steffen Backes1,2,3, Yuta Murakami2, Shiro Sakai2, Ryotaro Arita1,2 (1. RCAST, University of Tokyo (Japan), 2. CEMS, RIKEN, Saitama (Japan), 3. CPHT, Ecole Polytechnique, Palaiseau (France))
On-demand video
2:40 PM - 3:00 PM JST(5:40 AM - 6:00 AM UTC)

[C05-1-03]Partially Fault-tolerant Quantum Computing Architecture with Error-corrected Clifford Gates and Space-time Efficient Analog Rotations

*Yutaro Akahoshi1, Kazunori Maruyama1, Hirotaka Oshima1, Shintaro Sato1, Keisuke Fujii2,3 (1. Fujitsu Ltd. (Japan), 2. Osaka Univ. (Japan), 3. RIKEN (Japan))
On-demand video
3:00 PM - 3:20 PM JST(6:00 AM - 6:20 AM UTC)

[C05-1-04]Building Robust Orders-of-Coupling Representations with Machine Learning

*Sergei Manzhos1, Manabu Ihara1 (1. Tokyo Institute of Technology (Japan))
On-demand video
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