Date & Time: November 30, 2021, 14:00-17:00 JST
Style: Zoom Meeting
Organizer: RIKEN Center for Quantum Computing (RQC), RIKEN Center for Advanced Intelligence Project (AIP)
Each presentation will consist of 15 minutes presentation and 10 minutes discussion.We look forward to lively discussions.
13:55- Doors Open
Opening Address Yasunobu Nakamura (Director, RQC)
Opening Address Masashi Sugiyama (Director, AIP)
14:10- Speaker 1: Tomotaka Kuwahara (Research Scientist, Mathematical Science Team, AIP)
Title: Sample-efficient learning of interacting quantum systems
14:35- Speaker 2: Keisuke Fujii (Team Leader, Quantum Computing Theory Research Team, RQC)
Title: Quantum machine learning: quantum kernel method and beyond
14:55- Speaker 3: Quang Minh Ha (Unit Leader, Functional Analytic Learning Unit, AIP）
Title: Functional Analytic and Geometrical Methods in Machine Learning
15:20- Speaker 4: Tomonori Shirakawa (Senior Scientist, Quantum Computational Science Research Team, RQC)
Title: Encoding an arbitrary quantum state by a quantum circuit
15:45- Speaker 5: Sho Sonoda (Postdoctoral Researcher, Deep Learning Theory Team, AIP）
Title: Quantum algorithm for sampling optimal random features
16:10- Speaker 6: Clemens Gneiting (Research Scientist, Quantum Information Physics Theory Research Team, RIKEN RQC）
Title: Machine learning for quantum state tomography and topological phase detection
16:35- Speaker 7: Qibin Zhao (Team Leader, Tensor Learning Team, RIKEN AIP)
Title: Tensor Networks in Machine Learning
16:55- Closing Remarks
All participants are required to agree with the AIP Open Seminar Series Code of Conduct.
Please see the URL below.
RIKEN AIP will expect adherence to this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.
|日時||2021/11/30(火) 14:00 - 17:00|