EDUCATION

Ph.D. in Systems Innovation, Graduate School of Engineering Science, Osaka University, 04/2023 - present

• Member of the Quanutm Computing Group
• Superviser: Keisuke Fujii

M.Sc. in Advanced Mathematical Sciences, Graduate School of Informatics, Kyoto University, 04/2021 - 03/2023

• Member of the Nonlinear Physics Division
• Superviser: Kenji Harada

B.Sc. in Informatics and Mathematical Science, Kyoto University, 04/2017 - 03/2021

• Applied Mathematics and Physics course
• GPA 4.08 / 4.3

WORK EXPERIENCE

QMeGa program, 04/2023 - present

Center for Quantum Information and Quantum Biology, Osaka University

• Participating in a Ph.D. Support Program in the field of quantum computing.

Assistant Technical Staff, 08/2022 - present

Graduate School of Engineering, The University of Tokyo

• Providing programming assistance for the efficient implementation of various simulation algorithms, including Clifford circuits and ZX-diagrams.

NICT Quantum Camp Program, 08/2021 - 03/2022

The National Institute of Information and Communications Technology

• Received a grant of approximately $10,000 for my proposal, “Classical simulation of quantum random circuit using a tensor network approximation.”
• Developed a state-of-the-art quantum computer simulation technology.

Collaborator, Adanced Mathematical Science for Mobility Society, 04/2021 - 03/2023

Graduate School of Informatics, Kyoto University and Toyota Motor Corporation

• Conducted research on tensor-based data analysis with several researchers in Japan.

Internship, 08/2021

NTT Laboratories

• Participated in an internship focused on “Evaluation and optimization of fault-tolerant quantum computers.”
• Studied the performance of quantum error correcting codes, especially the GKP-surface code.

MITOU Target Program, 06/2020 – 02/2021

Information-technology Promotion Agency

• Received a grant of approximately $30,000 for my proposal, “Python library for Quantum Machine Learning with tensor network backend.”
• Released a tensor-network backend Quantum Circuit Learning library, enabling the simulation of quantum machine learning with a medium-sized qubit system through efficient tensor-network contraction.

SKILLS

• Languages: Japanese (Native), English (Intermediate)
• Programming: C/C++, Python, CUDA/MPI/OpenMP

ACTIVITIES

International HPC Summer School 2022, 06/2022

• Participated in an expense-paid program for leading Canadian, European, Japanese, and American computational scientists and HPC technologists.

AWARDS

• Student Encouragement Awards, 9th & 7th SIG on Quantum Software in Japan.
• Excellent Grade Award, Undergraduate School of Informatics and Mathematical Science, Kyoto University.