謝明修

職稱

量子計算研究所所長

簡介

謝明修博士自 2021 年 1 月起擔任鴻海研究院量子計算研究所所長。此前,他於 2014 至 2020 年間任教於澳洲雪梨科技大學(University of Technology Sydney),擔任副教授,並為該校量子軟體與資訊中心(Centre for Quantum Software and Information)成員。2010 至 2012 年間,他在英國劍橋大學擔任博士後研究員。更早之前,他於日本擔任日本科技振興機構(Japan Science and Technology Agency, JST)資助之 ERATO-SORST 量子計算與資訊計畫的研究科學家,並同時掛名於東京大學計算機科學系。2014 至 2018 年間,他曾獲得澳洲研究委員會(ARC)未來學者獎(Future Fellowship)。

謝博士目前擔任多個國際會議的指導委員會成員,包括:

  • 亞洲量子資訊科學會議(Asian Quantum Information Science Conference, AQIS),2024 年起

  • 量子計算、通訊與密碼理論研討會(Theory of Quantum Computation, Communication and Cryptography, TQC),2021–2025 年

  • 量子資訊處理會議(Quantum Information Processing, QIP)系列,2021–2025 年

  • 資訊理論中的超越 IID 研討會(Beyond IID in Information Theory, BIID),2020–2022 年

他亦曾擔任 TQC 2021 與 BIID 2021 的大會議程主席(Program Chair)。

謝博士的研究興趣涵蓋量子資訊與量子計算的廣泛主題。

專業研究領域

量子錯誤更正碼、量子通信理論、量子訊息理論、量子機器學習及量子算法

教育背景

  • 美國南加州大學電機工程 博士

  • 國立台灣大學電信工程 碩士

  • 國立台灣大學電機工程 學士

經歷

  • 澳洲雪梨科技大學量子軟體及資訊中心 副教授

  • 澳洲雪梨科技大學 高級講師

  • 英國劍橋大學數學系 博士後研究員

  • 日本科學技術振興機構 研究員

得獎資訊

  • 2014 Australia ARC未來研究員

  • 2013年雪梨科技大學年輕學者學術論文獎

  • 2007、2008美國南加州大學最佳學生論文獎

研究成果

2025

Constant-Overhead Magic State Distillation

Adam Wills, Min-Hsiu Hsieh, Hayata Yamasaki
arXiv preprint, 2024. DOI: 10.48550/arXiv.2408.07764

2025

Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits

Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
Nature Communications, vol. 16, Art. no. 3790, 2025.

2025

Unconditional advantage of noisy qudit quantum circuits over biased threshold circuits in constant depth

Michael de Oliveira, Sathyawageeswar Subramanian, Leandro Mendes, Min-Hsiu Hsieh
Nature Communications, vol. 16, Art. no. 3559, 2025.

2024

Tradeoff Constructions for Quantum Locally Testable Codes

Adam Wills, Ting-Chun Lin, Min-Hsiu Hsieh
IEEE Transactions on Information Theory, vol. 71, no. 1, Jan. 2025. DOI: 10.1109/TIT.2024.3503500

2024

A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning

Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan, Min-Hsiu Hsieh
ICLR 2025 Conference, arXiv:2410.09846, 2025

2024

On the Capacity of Zero-Drift First Arrival PositionChannels in Diffusive Molecular Communication

Yen-Chi Lee, Min-Hsiu Hsieh
IEEE International Conference on Communication

2024

Multimodal deep representation learning for quantum cross-platform verification

Yang Qian, Yuxuan Du, Zhenliang He, Min-Hsiu Hsieh, Dacheng Tao
Physical Review Letters, vol. 133, Art. 130601, 2024. DOI: 10.1103/PhysRevLett.133.130601

2024

General Distance Balancing for Quantum Locally Testable Codes

Adam Wills, Ting-Chun Lin, Min-Hsiu Hsieh
arXiv preprint, 2023. DOI: 10.48550/arXiv.2305.00689

2024

Quantum Optimization for Training Quantum Neural Networks.

Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie
Quantum Machine Intelligence, vol. 6, Art. 33, 2024. DOI: 10.1007/s42484-024-00169-w

2024

Doubling the order of approximation via the randomized product

Chien Hung Cho, Dominic W. Berry, Min-Hsiu Hsieh
Physical Review A, vol. 109, Art. 062431, 2024. DOI: 10.1103/PhysRevA.109.062431

2024

Quantum state tomography via non-convex Riemannian gradient descent

Ming-Chien Hsu, En-Jui Kuo, Wei-Hsuan Yu, Jian-Feng Cai, Min-Hsiu Hsieh
Physical Review Letters, vol. 132, Art. 240804, 2024. DOI: 10.1103/PhysRevLett.132.240804 scholars.ncu.edu.tw +15 link.aps.org +15 semanticscholar.org +15

2024

(Quantum) complexity of testing signed graph clusterability

Kuo-Chin Chen, Simon Apers, Min-Hsiu Hsieh
In 19th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2024), LIPIcs, vol. 310, pp. 8:1–8:16, 2024. DOI: 10.4230/LIPIcs.TQC.2024.8

2024

Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer

Chen-Yu Liu, Hsin-Yu Wang, Pei-Yen Liao, Ching-Jui Lai, Min-Hsiu Hsieh
Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN), pp. 1–8, 2024. DOI: 10.1109/IJCNN60899.2024.10650298

2024

Characterizing First Arrival Position Channels: Noise Distribution and Capacity Analysis

Yen-Chi Lee, Yun-Feng Lo, Jen-Ming Wu, Min-Hsiu Hsieh
IEEE Transactions on Communications, vol. 72, no. 7, pp. 4010–4025, 2024. DOI: 10.1109/TCOMM.2024.3374348

2024

On the Capacity of Zero-Drift First Arrival Position Channels in Diffusive Molecular Communication

Yen-Chi Lee, Min-Hsiu Hsieh
arXiv preprint, 2023. DOI: 10.48550/arXiv.2201.11383

2023

Problem-dependent power of quantum neural networks on multiclass classification

Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh
Phys. Rev. Lett. 131, 140601

2023

Geometrically Local Quantum and Classical Codes from Subdivision

Ting-Chun Lin, Adam Wills, Min-Hsiu Hsieh
arXiv preprint, 2023. DOI: 10.48550/arXiv.2309.16104

2023

Approximate reconstructability of quantum states and noisy quantum secret sharing schemes

Yingkai Ouyang, Kaumudibikash Goswami, Jacquiline Romero, Barry C. Sanders, Min-Hsiu Hsieh, Marco Tomamichel
Phys. Rev. A 108, 012425 (2023)

2023

Counting stabiliser codes for arbitrary dimension

Tanmay Singal, Che Chiang, Eugene Hsu, Eunsang Kim, Hsi-Sheng Goan, Min-Hsiu Hsieh
Quantum 7, 1048 (2023)

2023

Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

Po-Yu Kao, Ya-Chu Yang, Wei-Yin Chiang, Jen-Yueh Hsiao, Yudong Cao, Alex Aliper, Feng Ren, Alan Aspuru-Guzik, Alex Zhavoronkov, Min-Hsiu Hsieh, Yen-Chu Lin

2023

One-Shot Distributed Source Simulation: As Quantum as it Can Get.

Ian George, Min-Hsiu Hsieh, Eric Chitambar

2023

Theoretical error performance analysis for variational quantum circuit based functional regression

Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
npj Quantum Information volume 9, Article number: 4 (2023).

2022

Towards a general framework of Randomized Benchmarking for non-Markovian Noise

Pedro Figueroa-Romero, Kavan Modi, Min-Hsiu Hsieh

2022

Partially Concatenated Calderbank-Shor-Steane Codes Achieving the Quantum Gilbert-Varshamov Bound Asymptotically

Jihao Fan, Jun Li, Ya Wang, Yonghui Li, Min-Hsiu Hsieh, Jiangfeng Du

2022

Partial equivalence checking of quantum circuit

Tain-Fu Chen, Jie-Hong R. Jiang, Min-Hsiu Hsieh

2022

Entanglement-assisted concatenated quantum codes

Jihao Fan, Jun Li, Yongbin Zhou, Min-Hsiu Hsieh, H. Vincent Poor

2022

Good Quantum LDPC Codes with Linear Time Decoders

Irit Dinur, Min-Hsiu Hsieh, Ting-Chun Lin, Thomas Vidick
STOC 2023, accpeted on Feb 06, 2023.

2022

Duality between source coding with quantum side information and c-q channel coding

Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, Min-Hsiu Hsieh

2022

Recent Advances for Quantum Neural Networks in Generative Learning

Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao

2022

One-Shot Trade-Off Bounds for State Redistribution of Classical-Quantum Sources

Eyuri Wakakuwa, Yoshifumi Nakata, Min-Hsiu Hsieh
Quantum 6, 724 (2022)

2022

Quantum circuit architecture search for variational quantum algorithms

Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao

2022

Efficient Bipartite Entanglement Detection Scheme with a Quantum Adversarial Solver

Xu-Fei Yin, Yuxuan Du, Yue-Yang Fei, Rui Zhang, Li-Zheng Liu, Yingqiu Mao, Tongliang Liu, Min-Hsiu Hsieh, Li Li, Nai-Le Liu, Dacheng Tao, Yu-Ao Chen, Jian-Wei Pan
Phys. Rev. Lett. 128, 110501

2022

Properties of Noncommutative Renyi and Augustin Information

Hao-Chung Cheng, Li Gao, Min-Hsiu Hsieh
arXiv:1811.04218

2022

Quantum Differentially Private Sparse RegressionLearning

Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao

2022

Gaussian initializations help deep variational quantum circuits escape from the barren plateau

Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao

2021

Randomized Benchmarking for Non-Markovian Noise

Pedro Figueroa-Romero, Kavan Modi, Robert J. Harris, Thomas M. Stace, Min-Hsiu Hsieh
PRX Quantum 2, 040351

2021

Sublinear quantum algorithms for estimating von Neumann entropy

Tom Gur, Min-Hsiu Hsieh, Sathyawageeswar Subramanian
arXiv:2111.11139

2021

On the learnability of quantum neural networks

Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
PRX Quantum 2, 040337

2021

Experimental Quantum Generative Adversarial Networks for Image Generation

He-Liang Huang, Yuxuan Du, Ming Gong, Youwei Zhao, Yulin Wu, Chaoyue Wang, Shaowei Li, Futian Liang, Jin Lin, Yu Xu, Rui Yang, Tongliang Liu, Min-Hsiu Hsieh, Hui Deng, Hao Rong, Cheng-Zhi Peng, Chao-Yang Lu, Yu-Ao Chen, Dacheng Tao, Xiaobo Zhu, Jian-Wei Pan
Phys. Rev. Applied 16, 024051

2021

Quantum algorithm for estimating α-Renyi entropies of quantum states

Sathyawageeswar Subramanian, Min-Hsiu Hsieh
Phys. Rev. A 104, 022428

2021

From Generalization of Bacon-Shor Codes to High Performance Quantum LDPC Codes

Jihao Fan, Jun Li, Ya Wang, Yonghui Li, Min-Hsiu Hsieh, Jiangfeng Du

2021

Hierarchy of quantum operations in manipulating coherence and entanglement

Hayata Yamasaki, Madhav Krishnan Vijayan, Min-Hsiu Hsieh
Quantum 5, 480 (2021)

2021

Quantum noise protects quantum classifiers against adversaries

Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao, Nana Liu
Phys. Rev. Research 3, 023153

2021

Entanglement-assisted multiple-access channels: capacity regions and protocol designs

Min-Hsiu Hsieh, Haowei Shi, Saikat Guha, Zheshen Zhang, Quntao Zhuang

2021

Quantum Optimization for Training Quantum Neural Network

Min-Hsiu Hsieh, Yidong Liao, Chris Ferrie

2021

A Grover-search based quantum learning scheme for classification

Min-Hsiu Hsieh, Yuxuan Du, Tongliang Liu, Dacheng Tao
New Journal of Physics, Volume  23, 023020 (2021)

2020

Quantum Speedup in Adaptive Boosting of Binary Classification

Min-Hsiu Hsieh, Ximing Wang, Yuechi Ma, Manhong Yung
SCIENCE CHINA Physics, Mechanics & Astronomy, Volume 64 , Issue 2 : 220311 (2021)

2020

Non-Asymptotic Classical Data Compression with Quantum Side Information

Min-Hsiu Hsieh, Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta
IEEE Transactions on Information Theory, vol. 67, no. 2, pp. 902-930, (2021)

2020

Efficient State Read-out for Quantum Machine Learning Algorithms.

Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao
Phys. Rev. Research 3, 043095