Featured Publications (see CV for the latest and all publications)

Verifiable blind observable estimation

Bo Yang, Elham Kashefi, Harold Ollivier

DOI: https://doi.org/10.48550/arXiv.2510.08548

Resource-efficient generalized quantum subspace expansion

Bo Yang, Nobuyuki Yoshioka, Hiroyuki Harada, Shigeo Hakkaku, Yuuki Tokunaga, Hideaki Hakoshima, Kaoru Yamamoto, Suguru Endo

Phys. Rev. Applied 23, 054021 – Published 8 May, 2025

DOI: https://doi.org/10.1103/PhysRevApplied.23.054021

Efficient quantum readout-error mitigation for sparse measurement outcomes of near-term quantum devices

Bo Yang, Rudy Raymond, Shumpei Uno

Phys. Rev. A, 106, 012423 – Published 18 July, 2022

DOI: https://doi.org/10.1103/PhysRevA.106.012423

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

• Dual-GSE: Resource-efficient Generalized Quantum Subspace Expansion

• Noise propagation in hybrid tensor networks

• Organising 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.

Educations

• Doctor's Course at Laboratoire d'informatique de Sorbonne Université (LIP6, Sorbonne University)

August 2022 - currently attending
Advisor: Prof. Elham Kashefi, Prof. Harold Ollivier

• 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: 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: Faster Computation of Linear Rank-width via Quantum Algorithm Based on Dynamic Programming

Skills

Languages

• 日本語: Native

• 汉语: Native

• English: Working language

• Français: A2 equivalent

• Русский: elementary level (Duolingo score 45)

Software / Programming Languages (see my GitHub for specific products)

• Python, especially quantum computing software (e.g. Qiskit, etc.)

• C++

• OCaml

Badges

• Qiskit Advocate, 2022

• Advanced Course of Data Science Specialist Date, 2020