Who Am I?
Thank you for visiting my webpage! My name is Bo Yang (cn:杨 博 / jp:楊 博).
I am a PhD candidate at Laboratoire d'informatique de Sorbonne Université (LIP6, Sorbonne University).
I love travelling, and this photo was taken at Amagiso Onsen in Izu, Japan.
Now I am learning cooking, which is now becoming my new hobby:)
In my master's research, I focused on benchmarking and better use of near-term quantum devices, especially IBM Quantum devices.
For my PhD research, I am focusing on quantum error mitigation (QEM), and the integration of QEM and quantum verification in Prof. Elham Kashefi's team.
As for my long-term goal, I am looking for practical quantum architectures and high-level quantum programming languages.
Bo Yang, Rudy Raymond, Shumpei Uno "Efficient Quantum Readout Error Mitigation for Sparse Measurement Outcomes of Near-term Quantum Devices", Physical Review A, 2022
Invited talk at Quantum Control Group in Forschungszentrum Jülich
Nomination for the Metriq platform
Best student poster award at Asian Quantum Information Science (AQIS) Conference 2021
Student encouragement award at The 3rd SIG on Quantum Software (SIGQS) Workshop (2021)
Bo Yang, Rudy Raymond, Hiroshi Imai, Hyungseok Chang, Hidefumi Hiraishi, "Testing Scalable Bell Inequalities for Quantum Graph States on IBM Quantum Devices", IEEE JETCAS, 2022
Talk at The 2nd SIG on Quantum Software (SIGQS) Workshop (2021)
Poster Session at Quantum Information Processing (QIP) Conference 2021
Internships / Projects
Winter Research Internship (NTT Research)
February 2022 - March 2022
Theoretical analysis of large-scale quantum computation on the NISQ computer using the hybrid tensor network method
Organizing Staff of IBM Quantum Challenge Fall 2021 (IBM Japan)
April 2021 - December 2021
Co-author and a member of the judging team of the final problem.
Doctor's Course at Laboratoire d'informatique de Sorbonne Université (LIP6, Sorbonne University)
Doctor's Course at Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo
April 2022 - (Stopped and transferred to LIP6, Sorbonne University)
Advisor: Prof. Tetsuo Shibuya
Master's Course at Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo
April 2020 - March 2022
Advisor: Prof. Hiroshi Imai
Master Thesis Title: Witness of Multipartite Entanglements with Efficient Readout Error Mitigation on Near-term Quantum Devices
Bachelor's Course at Department of Information Science, School of Science, The University of Tokyo
April 2016 - March 2020
Advisor: Prof. Hiroshi Imai
Senior Thesis Title: Faster Computation of Linear Rank-width via Quantum Algorithm Based on Dynamic Programming