
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
2025
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
2025
Unconditional advantage of noisy qudit quantum circuits over biased threshold circuits in constant depth
2024
Tradeoff Constructions for Quantum Locally Testable Codes
2024
A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
2024
On the Capacity of Zero-Drift First Arrival PositionChannels in Diffusive Molecular Communication
2024
Multimodal deep representation learning for quantum cross-platform verification
2024
General Distance Balancing for Quantum Locally Testable Codes
2024
Quantum Optimization for Training Quantum Neural Networks.
2024
Doubling the order of approximation via the randomized product
2024
Quantum state tomography via non-convex Riemannian gradient descent
2024
(Quantum) complexity of testing signed graph clusterability
2024
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer
2024
Characterizing First Arrival Position Channels: Noise Distribution and Capacity Analysis
2024
On the Capacity of Zero-Drift First Arrival Position Channels in Diffusive Molecular Communication
2023
Problem-dependent power of quantum neural networks on multiclass classification
2023
Geometrically Local Quantum and Classical Codes from Subdivision
2023
Approximate reconstructability of quantum states and noisy quantum secret sharing schemes
2023
Counting stabiliser codes for arbitrary dimension
2023
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
2023
One-Shot Distributed Source Simulation: As Quantum as it Can Get.
2023
Theoretical error performance analysis for variational quantum circuit based functional regression
2022
Towards a general framework of Randomized Benchmarking for non-Markovian Noise
2022
Partially Concatenated Calderbank-Shor-Steane Codes Achieving the Quantum Gilbert-Varshamov Bound Asymptotically
2022
Partial equivalence checking of quantum circuit
2022
Entanglement-assisted concatenated quantum codes
2022
Good Quantum LDPC Codes with Linear Time Decoders
2022
Duality between source coding with quantum side information and c-q channel coding
2022
Recent Advances for Quantum Neural Networks in Generative Learning
2022
One-Shot Trade-Off Bounds for State Redistribution of Classical-Quantum Sources
2022
Quantum circuit architecture search for variational quantum algorithms
2022
Efficient Bipartite Entanglement Detection Scheme with a Quantum Adversarial Solver
2022
Properties of Noncommutative Renyi and Augustin Information
2022
Quantum Differentially Private Sparse RegressionLearning
2022
Gaussian initializations help deep variational quantum circuits escape from the barren plateau
2021
Randomized Benchmarking for Non-Markovian Noise
2021
Sublinear quantum algorithms for estimating von Neumann entropy
2021
On the learnability of quantum neural networks
2021
Experimental Quantum Generative Adversarial Networks for Image Generation
2021
Quantum algorithm for estimating α-Renyi entropies of quantum states
2021
From Generalization of Bacon-Shor Codes to High Performance Quantum LDPC Codes
2021
Hierarchy of quantum operations in manipulating coherence and entanglement
2021
Quantum noise protects quantum classifiers against adversaries
2021
Entanglement-assisted multiple-access channels: capacity regions and protocol designs
2021
Quantum Optimization for Training Quantum Neural Network
2021
A Grover-search based quantum learning scheme for classification
2020
Quantum Speedup in Adaptive Boosting of Binary Classification
2020
Non-Asymptotic Classical Data Compression with Quantum Side Information
2020
Efficient State Read-out for Quantum Machine Learning Algorithms.