Min-Hsiu Hsieh

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 96

Top Venues

CoRR

IEEE Trans. Inf. Theory

ISIT

Quantum

Publications

Yen-Chi Lee, Yun-Feng Lo, Jen-Ming Wu, Min-Hsiu Hsieh
Characterizing First Arrival Position Channels: Noise Distribution and Capacity Analysis. IEEE Trans. Commun. 72 (7) (2024)
Yun-Feng Lo, Yen-Chi Lee, Min-Hsiu Hsieh
Degradability of Modified Landau-Streater Type Low-Noise Quantum Channels in High Dimensions. CoRR (2024)
Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie
Quantum optimization for training quantum neural networks. Quantum Mach. Intell. 6 (1) (2024)
Nai-Hui Chia, Min-Hsiu Hsieh, Shih-Han Hung, En-Jui Kuo
Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy. CoRR (2024)
Kuo-Chin Chen, Simon Apers, Min-Hsiu Hsieh
(Quantum) Complexity of Testing Signed Graph Clusterability. TQC (2024)
Yen-Chi Lee, Yun-Feng Lo, Jen-Ming Wu, Min-Hsiu Hsieh
Characterizing First Arrival Position Channels: Noise Distribution and Capacity Analysis. CoRR (2023)
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
Recent Advances for Quantum Neural Networks in Generative Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Tanmay Singal, Che Chiang, Eugene Hsu, Eunsang Kim, Hsi-Sheng Goan, Min-Hsiu Hsieh
Counting stabiliser codes for arbitrary dimension. Quantum 7 (2023)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits. CoRR (2023)
Jihao Fan, Jun Li, Ya Wang, Yonghui Li, Min-Hsiu Hsieh, Jiangfeng Du
Partially Concatenated Calderbank-Shor-Steane Codes Achieving the Quantum Gilbert-Varshamov Bound Asymptotically. IEEE Trans. Inf. Theory 69 (1) (2023)
Yang Qian, Yuxuan Du, Zhenliang He, Min-Hsiu Hsieh, Dacheng Tao
Multimodal deep representation learning for quantum cross-platform verification. CoRR (2023)
Xin Hong, Wei-Jia Huang, Wei-Chen Chien, Yuan Feng, Min-Hsiu Hsieh, Sanjiang Li, Chia-Shun Yeh, Mingsheng Ying
Decision Diagrams for Symbolic Verification of Quantum Circuits. QCE (2023)
Yun-Feng Lo, Yen-Chi Lee, Min-Hsiu Hsieh
Capacity Bounds for Vertically-Drifted First Arrival Position Channels under a Second-Moment Constraint. CoRR (2023)
Yingkai Ouyang, Kaumudibikash Goswami, Jacquiline Romero, Barry C. Sanders, Min-Hsiu Hsieh, Marco Tomamichel
Approximate reconstructability of quantum states and noisy quantum secret sharing schemes. CoRR (2023)
Ian George, Min-Hsiu Hsieh, Eric Chitambar
One-Shot Bounds on State Generation using Correlated Resources and Local Encoders. ISIT (2023)
Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification. CoRR (2023)
Po-Yu Kao, Ya-Chu Yang, Wei-Yin Chiang, Jen-Yueh Hsiao, Yudong Cao, Alex Aliper, Feng Ren, Alán Aspuru-Guzik, Alex Zhavoronkov, Min-Hsiu Hsieh, Yen-Chu Lin
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry. J. Chem. Inf. Model. 63 (11) (2023)
Ian George, Min-Hsiu Hsieh, Eric Chitambar
One-Shot Distributed Source Simulation: As Quantum as it Can Get. CoRR (2023)
Irit Dinur, Min-Hsiu Hsieh, Ting-Chun Lin, Thomas Vidick
Good Quantum LDPC Codes with Linear Time Decoders. STOC (2023)
Kuo-Chin Chen, Simon Apers, Min-Hsiu Hsieh
(Quantum) complexity of testing signed graph clusterability. CoRR (2023)
Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits. NeurIPS (2022)
Pedro Figueroa-Romero, Kavan Modi, Min-Hsiu Hsieh
Towards a general framework of Randomized Benchmarking incorporating non-Markovian Noise. Quantum 6 (2022)
Ting-Chun Lin, Min-Hsiu Hsieh
-Locally Testable Codes from Lossless Expanders. CoRR (2022)
Chen-Yu Liu, Hsin-Yu Wang, Pei-Yen Liao, Ching-Jui Lai, Min-Hsiu Hsieh
Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer. CoRR (2022)
Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, Min-Hsiu Hsieh
Duality Between Source Coding With Quantum Side Information and Classical-Quantum Channel Coding. IEEE Trans. Inf. Theory 68 (11) (2022)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
Quantum Differentially Private Sparse Regression Learning. IEEE Trans. Inf. Theory 68 (8) (2022)
Tian-Fu Chen, Jie-Hong R. Jiang, Min-Hsiu Hsieh
Partial Equivalence Checking of Quantum Circuits. QCE (2022)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression. CoRR (2022)
Yen-Chi Lee, Jen-Ming Wu, Min-Hsiu Hsieh
First Arrival Position in Molecular Communication Via Generator of Diffusion Semigroup. CoRR (2022)
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
Recent Advances for Quantum Neural Networks in Generative Learning. CoRR (2022)
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao
Gaussian initializations help deep variational quantum circuits escape from the barren plateau. CoRR (2022)
Yen-Chi Lee, Min-Hsiu Hsieh
Capacity of First Arrival Position Channel in Diffusion-Based Molecular Communication. CoRR (2022)
Eyuri Wakakuwa, Yoshifumi Nakata, Min-Hsiu Hsieh
One-Shot Hybrid State Redistribution. Quantum 6 (2022)
Ting-Chun Lin, Min-Hsiu Hsieh
-Locally Testable Codes from Lossless Expanders. ISIT (2022)
Haowei Shi, Min-Hsiu Hsieh, Saikat Guha, Zheshen Zhang, Quntao Zhuang
Entanglement-assisted multiple-access channels: capacity regions and protocol designs. CoRR (2021)
Jihao Fan, Jun Li, Jianxin Wang, Zhihui Wei, Min-Hsiu Hsieh
Asymmetric Quantum Concatenated and Tensor Product Codes With Large Z-Distances. IEEE Trans. Commun. 69 (6) (2021)
Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie
Quantum Optimization for Training Quantum Neural Networks. CoRR (2021)
Tom Gur, Min-Hsiu Hsieh, Sathyawageeswar Subramanian
Sublinear quantum algorithms for estimating von Neumann entropy. Electron. Colloquium Comput. Complex. 28 (2021)
Haowei Shi, Min-Hsiu Hsieh, Saikat Guha, Zheshen Zhang, Quntao Zhuang
Entanglement-assisted multiple-access channels: capacity regions and protocol designs. ISIT (2021)
Jihao Fan, Jun Li, Ya Wang, Yonghui Li, Min-Hsiu Hsieh, Jiangfeng Du
From Generalization of Bacon-Shor Codes to High Performance Quantum LDPC Codes. CoRR (2021)
Hayata Yamasaki, Madhav Krishnan Vijayan, Min-Hsiu Hsieh
Hierarchy of quantum operations in manipulating coherence and entanglement. Quantum 5 (2021)
Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, Min-Hsiu Hsieh
Non-Asymptotic Classical Data Compression With Quantum Side Information. IEEE Trans. Inf. Theory 67 (2) (2021)
Tom Gur, Min-Hsiu Hsieh, Sathyawageeswar Subramanian
Sublinear quantum algorithms for estimating von Neumann entropy. CoRR (2021)
Farzin Salek, Min-Hsiu Hsieh, Javier Rodríguez Fonollosa
Single-Serving Quantum Broadcast Channel With Common, Individualized, and Confidential Messages. IEEE Trans. Inf. Theory 66 (12) (2020)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao, Nana Liu
Quantum noise protects quantum classifiers against adversaries. CoRR (2020)
Anurag Anshu, Min-Hsiu Hsieh, Rahul Jain
Noisy Quantum State Redistribution With Promise and the Alpha-Bit. IEEE Trans. Inf. Theory 66 (12) (2020)
Jihao Fan, Jun Li, Jianxin Wang, Zhihui Wei, Min-Hsiu Hsieh
Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances. CoRR (2020)
Eyuri Wakakuwa, Yoshifumi Nakata, Min-Hsiu Hsieh
One-Shot Trade-Off Bounds for State Redistribution of Classical-Quantum Sources. ISIT (2020)
Heliang 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
Experimental Quantum Generative Adversarial Networks for Image Generation. CoRR (2020)
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications. IEEE Trans. Inf. Theory 66 (2) (2020)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
Quantum differentially private sparse regression learning. CoRR (2020)
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers. CoRR (2020)
Farzin Salek, Anurag Anshu, Min-Hsiu Hsieh, Rahul Jain, Javier Rodríguez Fonollosa
One-Shot Capacity Bounds on the Simultaneous Transmission of Classical and Quantum Information. IEEE Trans. Inf. Theory 66 (4) (2020)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
A Quantum-inspired Algorithm for General Minimum Conical Hull Problems. CoRR (2019)
Farzin Salek, Min-Hsiu Hsieh, Javier R. Fonollosa
Publicness, Privacy and Confidentiality in the Single-Serving Quantum Broadcast Channel. CoRR (2019)
Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, Min-Hsiu Hsieh
Duality between source coding with quantum side information and c-q channel coding. ISIT (2019)
Hao-Chung Cheng, Min-Hsiu Hsieh, Marco Tomamichel
Quantum Sphere-Packing Bounds With Polynomial Prefactors. IEEE Trans. Inf. Theory 65 (5) (2019)
Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao
On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications. CoRR (2019)
Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao
Quantum algorithm for finding the negative curvature direction in non-convex optimization. CoRR (2019)
Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications. CoRR (2019)
Ximing Wang, Yue-Chi Ma, Min-Hsiu Hsieh, Man-Hong Yung
Quantum Speedup in Adaptive Boosting of Binary Classification. CoRR (2019)
Elton Yechao Zhu, Quntao Zhuang, Min-Hsiu Hsieh, Peter W. Shor
Superadditivity in Trade-Off Capacities of Quantum Channels. IEEE Trans. Inf. Theory 65 (6) (2019)
Farzin Salek, Min-Hsiu Hsieh, Javier R. Fonollosa
Publicness, Privacy and Confidentiality in the Single-Serving Quantum Broadcast Channel. ISIT (2019)
Hao-Chung Cheng, Gao Li, Min-Hsiu Hsieh
Properties of Scaled Noncommutative Rényi and Augustin Information. ISIT (2019)
Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao
Generalization Bounds for Vicinal Risk Minimization Principle. CoRR (2018)
Eric Chitambar, Ben Fortescue, Min-Hsiu Hsieh
The Conditional Common Information in Classical and Quantum Secret Key Distillation. IEEE Trans. Inf. Theory 64 (11) (2018)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
Implementable Quantum Classifier for Nonlinear Data. CoRR (2018)
Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, Min-Hsiu Hsieh
Error Exponents and Strong Converse Exponents for Classical Data Compression with Quantum Side Information. ISIT (2018)
Elton Yechao Zhu, Quntao Zhuang, Min-Hsiu Hsieh, Peter W. Shor
Superadditivity in Trade-Off Capacities of Quantum Channels. ISIT (2018)
Hao-Chung Cheng, Gao Li, Min-Hsiu Hsieh
Properties of Noncommutative Renyi and Augustin Information. CoRR (2018)
Jihao Fan, Min-Hsiu Hsieh, Hanwu Chen, He Chen, Yonghui Li
Construction and Performance of Quantum Burst Error Correction Codes for Correlated Errors. ISIT (2018)
Farzin Salek, Anurag Anshu, Min-Hsiu Hsieh, Rahul Jain, Javier R. Fonollosa
One-shot Capacity Bounds on the Simultaneous Transmission of Public and Private Information Over Quantum Channels. ISIT (2018)
Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, Min-Hsiu Hsieh
Non-Asymptotic Classical Data Compression with Quantum Side Information. CoRR (2018)
Hao-Chung Cheng, Eric P. Hanson, Nilanjana Datta, Min-Hsiu Hsieh
Duality between source coding with quantum side information and c-q channel coding. CoRR (2018)
Jihao Fan, Min-Hsiu Hsieh, Hanwu Chen, He Chen, Yonghui Li
Construction and Performance of Quantum Burst Error Correction Codes for Correlated Errors. CoRR (2018)
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
The Expressive Power of Parameterized Quantum Circuits. CoRR (2018)
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. CoRR (2018)
Hao-Chung Cheng, Min-Hsiu Hsieh
Moderate Deviation Analysis for Classical-Quantum Channels and Quantum Hypothesis Testing. IEEE Trans. Inf. Theory 64 (2) (2018)
Farzin Salek, Anurag Anshu, Min-Hsiu Hsieh, Rahul Jain, Javier R. Fonollosa
One-shot Capacity bounds on the Simultaneous Transmission of Classical and Quantum Information. CoRR (2018)
Hao-Chung Cheng, Min-Hsiu Hsieh
Moderate deviations for classical-quantum channels. ISIT (2017)
Hao-Chung Cheng, Min-Hsiu Hsieh, Marco Tomamichel
Sphere-packing bound for classical-quantum channels. ITW (2017)
Jihao Fan, Yonghui Li, Min-Hsiu Hsieh, Hanwu Chen
On quantum tensor product codes. Quantum Inf. Comput. 17 (13&14) (2017)
Elton Yechao Zhu, Quntao Zhuang, Min-Hsiu Hsieh, Peter W. Shor
Superadditivity in trade-off capacities of quantum channels. CoRR (2017)
Hao-Chung Cheng, Min-Hsiu Hsieh, Marco Tomamichel
Quantum Sphere-Packing Bounds with Polynomial Prefactors. CoRR (2017)
Hao-Chung Cheng, Min-Hsiu Hsieh, Marco Tomamichel
Sphere-packing bound for symmetric classical-quantum channels. ISIT (2017)
Hao-Chung Cheng, Min-Hsiu Hsieh
Moderate deviations for quantum hypothesis testing and a martingale inequality. ISIT (2017)
Hao-Chung Cheng, Min-Hsiu Hsieh, Marco Tomamichel
Sphere-Packing Bound for Symmetric Classical-Quantum Channels. CoRR (2017)
Hao-Chung Cheng, Min-Hsiu Hsieh
Moderate Deviation Analysis for Classical-Quantum Channels and Quantum Hypothesis Testing. CoRR (2017)
Hao-Chung Cheng, Min-Hsiu Hsieh, Ping-Cheng Yeh
The learnability of unknown quantum measurements. Quantum Inf. Comput. 16 (7&8) (2016)
Ching-Yi Lai, Min-Hsiu Hsieh, Hsiao-feng Lu
On the MacWilliams Identity for Classical and Quantum Convolutional Codes. IEEE Trans. Commun. 64 (8) (2016)
Eric Chitambar, Min-Hsiu Hsieh, Andreas J. Winter
The Private and Public Correlation Cost of Three Random Variables With Collaboration. IEEE Trans. Inf. Theory 62 (4) (2016)
Min-Hsiu Hsieh, Shun Watanabe
Channel Simulation and Coded Source Compression. IEEE Trans. Inf. Theory 62 (11) (2016)
Hao-Chung Cheng, Min-Hsiu Hsieh
Characterisations of Matrix and Operator-Valued $Φ$-Entropies, and Operator Efron-Stein Inequalities. CoRR (2016)
Hao-Chung Cheng, Min-Hsiu Hsieh
On the Concavity of Auxiliary Function in Classical-Quantum Channels. CoRR (2016)
Jihao Fan, Yonghui Li, Min-Hsiu Hsieh, Hanwu Chen
Quantum Tensor Product Codes. CoRR (2016)
Hao-Chung Cheng, Min-Hsiu Hsieh
Concavity of the Auxiliary Function for Classical-Quantum Channels. IEEE Trans. Inf. Theory 62 (10) (2016)
Hao-Chung Cheng, Min-Hsiu Hsieh, Ping-Cheng Yeh
The Learnability of Unknown Quantum Measurements. CoRR (2015)
Min-Hsiu Hsieh, Shun Watanabe
Source Compression with a Quantum Helper. CoRR (2015)
Eric Chitambar, Ben Fortescue, Min-Hsiu Hsieh
Distributions Attaining Secret Key at a Rate of the Conditional Mutual Information. CoRR (2015)
Hao-Chung Cheng, Min-Hsiu Hsieh
New Characterizations of Matrix $Φ$-Entropies, Poincaré and Sobolev Inequalities and an Upper Bound to Holevo Quantity. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Min-Hsiu Hsieh