CV
Curriculum vitae of Hidetaka Manabe.
Contact Information
| Name | Hidetaka Manabe |
| Professional Title | Research Fellow — Tensor Networks & Quantum Computation |
| hidetaka_manabe@sutd.edu.sg |
Professional Summary
Research Fellow at the Singapore University of Technology and Design (SUTD), working at the intersection of tensor networks and quantum computation. Completed my PhD in the Quantum Computing Group (Fujii Laboratory) at Osaka University.
Experience
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2023 - present Osaka, Japan
QMeGa Program
Center for Quantum Information and Quantum Biology, Osaka University
- Participating in a PhD support program in the field of quantum computing.
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2022 - present Tokyo, Japan
Assistant Technical Staff
Graduate School of Engineering, The University of Tokyo
- Providing programming assistance for efficient implementation of simulation algorithms, including Clifford circuits and ZX-diagrams.
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2021 - 2022 Japan
NICT Quantum Camp Program
National Institute of Information and Communications Technology (NICT)
- Awarded a grant of approximately $10,000 for the proposal “Classical simulation of quantum random circuit using a tensor network approximation.”
- Developed state-of-the-art quantum computer simulation technology.
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2021 - 2023 Kyoto, Japan
Collaborator, Advanced Mathematical Science for Mobility Society
Graduate School of Informatics, Kyoto University & Toyota Motor Corporation
- Conducted research on tensor-based data analysis with researchers across Japan.
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2021 - 2021 Japan
Research Internship
NTT Laboratories
- Worked on evaluation and optimization of fault-tolerant quantum computers.
- Studied the performance of quantum error-correcting codes, especially the GKP-surface code.
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2020 - 2021 Japan
MITOU Target Program
Information-technology Promotion Agency (IPA)
- Awarded a grant of approximately $30,000 for the proposal “Python library for Quantum Machine Learning with tensor network backend.”
- Released a tensor-network backend Quantum Circuit Learning library enabling simulation of quantum machine learning on medium-sized qubit systems via efficient tensor-network contraction.
Education
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2023 - 2026 Osaka, Japan
Ph.D.
Osaka University
Systems Innovation
- Member of the Quantum Computing Group (Fujii Laboratory)
- Supervisor: Keisuke Fujii
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2021 - 2023 Kyoto, Japan
M.Sc.
Kyoto University
Advanced Mathematical Sciences, Graduate School of Informatics
- Member of the Nonlinear Physics Division
- Supervisor: Kenji Harada
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2017 - 2021 Kyoto, Japan
B.Sc.
Kyoto University
Informatics and Mathematical Science (Applied Mathematics and Physics)
- GPA 4.08 / 4.3
Presentations
- Tensor-network simulations of the 1D repetition code under a realistic noise model — IPSJ 9th SIG on Quantum Software, Jun 2023 (with Y. Suzuki, A. S. Darmawan)
- Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores — IPSJ 7th SIG on Quantum Software, Oct 2022 (with H. Ootomo)
- Variational optimization of two-dimensional MERA with GPGPU — JPS Autumn Meeting 2022, Sep 2022 (with K. Harada)
- Analysis of PEPDO ansatz for the evaluation of the surface code — IPSJ 5th SIG on Quantum Software, Mar 2022 (with Y. Suzuki, Y. Tokunaga)
- Holographic entanglement distillation in tensor networks — JPS Annual Meeting 2022, Mar 2022 (T. Mori, H. Manabe, H. Matsueda)
- Classical simulation of quantum random circuit sampling using a tensor-network approximation — JPS Annual Meeting 2022, Mar 2022 (with K. Harada)
- Quantum circuit learning with tensor network structure — JPS Autumn Meeting 2021, Sep 2021 (with K. Harada)
- Quantum circuit learning with efficiently simulatable parameterized circuits — IPSJ 3rd SIG on Quantum Software, Jul 2021 (with K. Harada)
Awards
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Student Encouragement Award
9th SIG on Quantum Software (IPSJ), Japan
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Student Encouragement Award
7th SIG on Quantum Software (IPSJ), Japan
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Excellent Grade Award
Undergraduate School of Informatics and Mathematical Science, Kyoto University
Activities
- International HPC Summer School 2022 (Jun 2022) — Selected to participate in an expense-paid program for leading Canadian, European, Japanese, and American computational scientists and HPC technologists.
Writings
- Quantum-inspired discrete Fourier transform — Qiita (in Japanese), Dec 2022
- GPU-accelerated tensor-network-based quantum circuit simulation — Qiita (in Japanese), Dec 2021
- Simulating quantum circuits with tensor networks — Qiita (in Japanese), Dec 2020
Skills
Programming: C/C++, Python, CUDA, MPI, OpenMP
Research: Tensor networks, Quantum computing, Quantum error correction, HPC simulation
Languages
Japanese : Native
English : Intermediate