Rchr
J-GLOBAL ID:201101055972430906
Update date: Oct. 18, 2024
SUZUKI Jun
スズキ ジュン | SUZUKI Jun
Affiliation and department:
Job title:
Associate Professor
Homepage URL (2):
http://www.q-phys.lab.uec.ac.jp/q-phys.lab/home.html
,
http://www.q-phys.lab.uec.ac.jp/english/home.html
Research field (2):
Mathematical physics and basic theory
, Semiconductors, optical and atomic physics
Research keywords (2):
Quantum estimation theory
, quantum information theory
Research theme for competitive and other funds (4):
- 2024 - 2027 量子ベイズ統計モデリング法と量子確率的コンプレキシティの開拓
- 2021 - 2023 量子情報幾何学に基づく非線形最適実験計画法における最適なデザインの探究
- 2021 - 2023 量子干渉と推定法を用いた光の波動関数を測定する方法に関する研究
- 2017 - 2020 不確定な環境系と相互作用している量子系に対する最適な量子状態推定法の開拓
Papers (44):
-
Zhao Kehan, Jun Suzuki. A Python Based Toolkit for Efficient Computation of Bayesian Nagaoka-Hayashi Bound for Quantum Multiparameter Estima. Proc. of the 24th Asian Quantum Information Science Conference. 2024. P2. 50. 380
-
Lorcan Conlon, Jun Suzuki, Ping Koy Lam, Syed Assad. The gap persistence theorem for quantum multiparameter estimation. Proc. of the 24th Asian Quantum Information Science Conference. 2024. P2. 11. 26
-
Jianchao Zhang, Jun Suzuki. A new approach to Bayesian lower bounds for quantum state estimation. Proc. of the 24th Asian Quantum Information Science Conference. 2024. P1. 11. 155
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Jun Suzuki, Yuxiang Yang, Masahito Hayashi. Corrigendum: Quantum state estimation with nuisance parameters (2020 J. Phys. A: Math. Theor. 53 453001). Journal of Physics A: Mathematical and Theoretical. 2024. 57. 12. 129501-129501
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Jun SUZUKI. Bayesian Nagaoka-Hayashi Bound for Multiparameter Quantum-State Estimation Problem. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2024. E107.A. 3. 510-518
more...
MISC (4):
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Lorcan O. Conlon, Jun Suzuki, Ping Koy Lam, Syed M. Assad. Role of the extended Hilbert space in the attainability of the Quantum Cramer-Rao bound for multiparameter estimation. Preprint arXiv. 2024. 2404.01520. 18 pages
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Jianchao Zhang, Jun Suzuki. QestOptPOVM: An iterative algorithm to find optimal measurements for quantum parameter estimation. 2024. 2403.20131. 31 pages
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Lorcan O. Conlon, Jun Suzuki, Ping Koy Lam, Syed M. Assad. The gap persistence theorem for quantum multiparameter estimation. Preprint arXiv. 2022. 2208.07386. 10 pages
-
Shin Funada, Jun Suzuki. Error trade-off relations for two-parameter unitary model with commuting generators. Preprint arXiv. 2020. 2010.00789. 7 pages
Books (4):
-
Quantum Paths: Festschrift in Honor of Berge Englert on His 60th Birthday
World Scientific Publisher 2015 ISBN:9789814651837
-
Mathematical Horizons for Quantum Physics
World Scientific Publishing 2010
-
Mathematics of Quantum Computation and Quantum Technology
Chapman & Hall/CRC 2007
-
Relativity in Rotating Frames
Kluwer Academic Publishers 2004
Lectures and oral presentations (80):
-
量子推定理論
(QIH・MS6・Q-LEAPサマースクール2024 2024)
-
On Minimum D-invariant Extension of rank-deficient statistical models in Quantum Estimation Theory
(2024)
-
Bayesian Nagaoka-Hayashi Bound for Multiparameter Quantum-State Estimation Problem
(Quantum TUT workshop 2024 on quantum statistics and quantum information theory 2024)
-
Tightness of the Nagaoka-Hayashi bound in i.i.d. qubit-state estimation
(Quantum Information Processing 2024 (qip2024) 2024)
-
Numerical computation of Bayesian Nagaoka-Hayashi bound for three-parameter qubit-state estimation
(2023)
more...
Education (3):
- 2001 - 2005 University of South Carolina Graduate School Department of Physics and Astronomy
- 1997 - 2001 The University of Tokyo College of Arts and Sciences Basic Sciences
- Sugamo High School
Professional career (2):
- Liberal Arts in Quantum Sciences (The University of Tokyo)
- Doctor of Philosophy in Physics (University of South Carolina)
Committee career (4):
- 2019/06 - 2023/06 基礎・境界ソサイエティ和英論文誌編集委員
- 2022/03/18 - Frontiers in Quantum Science and Technology Review Editor
- 2022/02/01 - Frontiers in Physics Topic Editor
- 2019/04/01 - IEICE情報理論研究専門委員会 専門委員
Awards (1):
- 2023/03 - 情報理論とその応用サブソサイエティ 情報理論とその応用サブソサイエティ学生優秀発表賞 最適な量子測定に基づく量子ニューラルネットワーク分類器の性能特性
Association Membership(s) (2):
American Physical Society
, 電子情報通信学会
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