A novel channel interference identification. - Min-Hsiu Hsieh; Kwang-Cheng Chen (VTC Spring, 2002)

General entanglement-assisted quantum error-correcting codes. - Todd A. Brun; Igor Devetak; Min-Hsiu Hsieh (ISIT, 2007)

Entanglement-Assisted Capacity of Quantum Multiple-Access Channels. - Min-Hsiu Hsieh; Igor Devetak; Andreas J. Winter 002 (IEEE Trans. Inf. Theory, 2008)

Optimal Trading of Classical Communication, Quantum Communication, and Entanglement. - Min-Hsiu Hsieh; Mark M. Wilde (TCQ, 2009)

Entanglement generation with a quantum channel and a shared state. - Mark M. Wilde; Min-Hsiu Hsieh (ISIT, 2010)

Multicasting homogeneous and heterogeneous quantum states in quantum networks. - Yi-Chang Shih; Min-Hsiu Hsieh; Hung-Yu Wei 001 (Nano Commun. Networks, 2010)

Entanglement-assisted communication of classical and quantum information. - Min-Hsiu Hsieh; Mark M. Wilde (IEEE Trans. Inf. Theory, 2010)

Trading classical communication, quantum communication, and entanglement in quantum Shannon theory. - Min-Hsiu Hsieh; Mark M. Wilde (IEEE Trans. Inf. Theory, 2010)

Adaptively correcting quantum errors with entanglement. - Yuichiro Fujiwara; Min-Hsiu Hsieh (ISIT, 2011)

Entanglement boosts quantum turbo codes. - Mark M. Wilde; Min-Hsiu Hsieh (ISIT, 2011)

High Performance Entanglement-Assisted Quantum LDPC Codes Need Little Entanglement. - Min-Hsiu Hsieh; Wen-Tai Yen; Li-Yi Hsu (IEEE Trans. Inf. Theory, 2011)

The information-theoretic costs of simulating quantum measurements - Mark M. Wilde; Patrick M. Hayden; Francesco Buscemi; Min-Hsiu Hsieh (CoRR, 2012)

Quantum-to-classical rate distortion coding - Nilanjana Datta; Min-Hsiu Hsieh; Mark M. Wilde; Andreas J. Winter 002 (CoRR, 2012)

The quantum dynamic capacity formula of a quantum channel. - Mark M. Wilde; Min-Hsiu Hsieh (Quantum Inf. Process., 2012)

Public and private resource trade-offs for a quantum channel. - Mark M. Wilde; Min-Hsiu Hsieh (Quantum Inf. Process., 2012)

Erratum to: The quantum dynamic capacity formula of a quantum channel; Public and private resource trade-offs for a quantum channel. - Mark M. Wilde; Min-Hsiu Hsieh (Quantum Inf. Process., 2012)

One-Shot Entanglement-Assisted Quantum and Classical Communication. - Nilanjana Datta; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2013)

Quantum Rate Distortion, Reverse Shannon Theorems, and Source-Channel Separation. - Nilanjana Datta; Min-Hsiu Hsieh; Mark M. Wilde (IEEE Trans. Inf. Theory, 2013)

A Smooth Entropy Approach to Quantum Hypothesis Testing and the Classical Capacity of Quantum Channels. - Nilanjana Datta; Milán Mosonyi; Min-Hsiu Hsieh; Fernando G. S. L. Brandão (IEEE Trans. Inf. Theory, 2013)

Quantum Rate-Distortion Coding With Auxiliary Resources. - Mark M. Wilde; Nilanjana Datta; Min-Hsiu Hsieh; Andreas J. Winter 002 (IEEE Trans. Inf. Theory, 2013)

The MacWilliams identity for quantum convolutional codes. - Ching-Yi Lai; Min-Hsiu Hsieh (ISIT, 2014)

A complete MacWilliams theorem for convolutional codes. - Ching-Yi Lai; Min-Hsiu Hsieh; Hsiao-feng Lu (ITW, 2014)

On the MacWilliams Identity for Classical and Quantum Convolutional Codes. - Ching-Yi Lai; Min-Hsiu Hsieh (CoRR, 2014)

Catalytic Quantum Error Correction. - Todd A. Brun; Igor Devetak; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2014)

When Do Local Operations and Classical Communication Suffice for Two-Qubit State Discrimination? - Eric Chitambar; Runyao Duan; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2014)

Entanglement-Assisted Quantum Turbo Codes. - Mark M. Wilde; Min-Hsiu Hsieh; Zunaira Babar (IEEE Trans. Inf. Theory, 2014)

Distributions Attaining Secret Key at a Rate of the Conditional Mutual Information. - Eric Chitambar; Benjamin Fortescue; Min-Hsiu Hsieh (CRYPTO (2), 2015)

Source compression with a quantum helper. - Min-Hsiu Hsieh; Shun Watanabe (ISIT, 2015)

Fully quantum source compression with a quantum helper. - Min-Hsiu Hsieh; Shun Watanabe (ITW Fall, 2015)

New Characterizations of Matrix $Φ$-Entropies, Poincaré and Sobolev Inequalities and an Upper Bound to Holevo Quantity. - Hao-Chung Cheng; Min-Hsiu Hsieh (CoRR, 2015)

Exponential Decay of Matrix $Φ$-Entropies on Markov Semigroups with Applications to Dynamical Evolutions of Quantum Ensembles. - Hao-Chung Cheng; Min-Hsiu Hsieh; Marco Tomamichel (CoRR, 2015)

A Classical Analog to Entanglement Reversibility. - Eric Chitambar; Ben Fortescue; Min-Hsiu Hsieh (CoRR, 2015)

Characterisations of Matrix and Operator-Valued $Φ$-Entropies, and Operator Efron-Stein Inequalities. - Hao-Chung Cheng; Min-Hsiu Hsieh (CoRR, 2016)

The learnability of unknown quantum measurements. - Hao-Chung Cheng; Min-Hsiu Hsieh; Ping-Cheng Yeh (Quantum Inf. Comput., 2016)

On the MacWilliams Identity for Classical and Quantum Convolutional Codes. - Ching-Yi Lai; Min-Hsiu Hsieh; Hsiao-feng Lu (IEEE Trans. Commun., 2016)

Concavity of the Auxiliary Function for Classical-Quantum Channels. - Hao-Chung Cheng; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2016)

The Private and Public Correlation Cost of Three Random Variables With Collaboration. - Eric Chitambar; Min-Hsiu Hsieh; Andreas J. Winter 002 (IEEE Trans. Inf. Theory, 2016)

Channel Simulation and Coded Source Compression. - Min-Hsiu Hsieh; Shun Watanabe (IEEE Trans. Inf. Theory, 2016)

Moderate deviations for classical-quantum channels. - Hao-Chung Cheng; Min-Hsiu Hsieh (ISIT, 2017)

Moderate deviations for quantum hypothesis testing and a martingale inequality. - Hao-Chung Cheng; Min-Hsiu Hsieh (ISIT, 2017)

Sphere-packing bound for symmetric classical-quantum channels. - Hao-Chung Cheng; Min-Hsiu Hsieh; Marco Tomamichel (ISIT, 2017)

Sphere-packing bound for classical-quantum channels. - Hao-Chung Cheng; Min-Hsiu Hsieh; Marco Tomamichel (ITW, 2017)

On quantum tensor product codes. - Jihao Fan; Yonghui Li; Min-Hsiu Hsieh; Hanwu Chen (Quantum Inf. Comput., 2017)

Error Exponents and Strong Converse Exponents for Classical Data Compression with Quantum Side Information. - Hao-Chung Cheng; Eric P. Hanson; Nilanjana Datta; Min-Hsiu Hsieh (ISIT, 2018)

Construction and Performance of Quantum Burst Error Correction Codes for Correlated Errors. - Jihao Fan; Min-Hsiu Hsieh; Hanwu Chen; He Chen 001; Yonghui Li 001 (ISIT, 2018)

One-shot Capacity Bounds on the Simultaneous Transmission of Public and Private Information Over Quantum Channels. - Farzin Salek; Anurag Anshu; Min-Hsiu Hsieh; Rahul Jain 001; Javier R. Fonollosa (ISIT, 2018)

Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. - Chao Zhang 017; Xianjie Gao; Min-Hsiu Hsieh; Hanyuan Hang; Dacheng Tao (CoRR, 2018)

Implementable Quantum Classifier for Nonlinear Data. - Yuxuan Du; Min-Hsiu Hsieh; Tongliang Liu; Dacheng Tao (CoRR, 2018)

The Expressive Power of Parameterized Quantum Circuits. - Yuxuan Du; Min-Hsiu Hsieh; Tongliang Liu; Dacheng Tao (CoRR, 2018)

Properties of Noncommutative Renyi and Augustin Information. - Hao-Chung Cheng; Gao Li; Min-Hsiu Hsieh (CoRR, 2018)

Generalization Bounds for Vicinal Risk Minimization Principle. - Chao Zhang 017; Min-Hsiu Hsieh; Dacheng Tao (CoRR, 2018)

Moderate Deviation Analysis for Classical-Quantum Channels and Quantum Hypothesis Testing. - Hao-Chung Cheng; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2018)

The Conditional Common Information in Classical and Quantum Secret Key Distillation. - Eric Chitambar; Ben Fortescue; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2018)

Duality between source coding with quantum side information and c-q channel coding. - Hao-Chung Cheng; Eric P. Hanson; Nilanjana Datta; Min-Hsiu Hsieh (ISIT, 2019)

Properties of Scaled Noncommutative Rényi and Augustin Information. - Hao-Chung Cheng; Gao Li; Min-Hsiu Hsieh (ISIT, 2019)

Publicness, Privacy and Confidentiality in the Single-Serving Quantum Broadcast Channel. - Farzin Salek; Min-Hsiu Hsieh; Javier R. Fonollosa (ISIT, 2019)

Quantum Speedup in Adaptive Boosting of Binary Classification. - Ximing Wang; Yue-Chi Ma; Min-Hsiu Hsieh; Man-Hong Yung (CoRR, 2019)

Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications. - Yuxuan Du; Min-Hsiu Hsieh; Dacheng Tao (CoRR, 2019)

A Quantum-inspired Algorithm for General Minimum Conical Hull Problems. - Yuxuan Du; Min-Hsiu Hsieh; Tongliang Liu; Dacheng Tao (CoRR, 2019)

Quantum algorithm for finding the negative curvature direction in non-convex optimization. - Kaining Zhang; Min-Hsiu Hsieh; Liu Liu 014; Dacheng Tao (CoRR, 2019)

On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications. - Chao Zhang 017; Min-Hsiu Hsieh; Dacheng Tao (CoRR, 2019)

Quantum Sphere-Packing Bounds With Polynomial Prefactors. - Hao-Chung Cheng; Min-Hsiu Hsieh; Marco Tomamichel (IEEE Trans. Inf. Theory, 2019)

Superadditivity in Trade-Off Capacities of Quantum Channels. - Elton Yechao Zhu; Quntao Zhuang; Min-Hsiu Hsieh; Peter W. Shor (IEEE Trans. Inf. Theory, 2019)

One-Shot Trade-Off Bounds for State Redistribution of Classical-Quantum Sources. - Eyuri Wakakuwa; Yoshifumi Nakata; Min-Hsiu Hsieh (ISIT, 2020)

Quantum noise protects quantum classifiers against adversaries. - Yuxuan Du; Min-Hsiu Hsieh; Tongliang Liu; Dacheng Tao; Nana Liu (CoRR, 2020)

Experimental Quantum Generative Adversarial Networks for Image Generation. - Heliang Huang; Yuxuan Du; Ming Gong; Youwei Zhao; Yulin Wu; Chaoyue Wang; Shaowei Li; Futian Liang; Jin Lin; Yu Xu; Rui Yang; Tongliang Liu; et al. (CoRR, 2020)

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers. - Yuxuan Du; Tao Huang 020; Shan You; Min-Hsiu Hsieh; Dacheng Tao (CoRR, 2020)

Noisy Quantum State Redistribution With Promise and the Alpha-Bit. - Anurag Anshu; Min-Hsiu Hsieh; Rahul Jain 001 (IEEE Trans. Inf. Theory, 2020)

One-Shot Capacity Bounds on the Simultaneous Transmission of Classical and Quantum Information. - Farzin Salek; Anurag Anshu; Min-Hsiu Hsieh; Rahul Jain 001; Javier Rodríguez Fonollosa (IEEE Trans. Inf. Theory, 2020)

Single-Serving Quantum Broadcast Channel With Common, Individualized, and Confidential Messages. - Farzin Salek; Min-Hsiu Hsieh; Javier Rodríguez Fonollosa (IEEE Trans. Inf. Theory, 2020)

Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications. - Chao Zhang 017; Xianjie Gao; Min-Hsiu Hsieh; Hanyuan Hang; Dacheng Tao (IEEE Trans. Inf. Theory, 2020)

Entanglement-assisted multiple-access channels: capacity regions and protocol designs. - Haowei Shi; Min-Hsiu Hsieh; Saikat Guha 001; Zheshen Zhang; Quntao Zhuang (ISIT, 2021)

From Generalization of Bacon-Shor Codes to High Performance Quantum LDPC Codes. - Jihao Fan; Jun Li 004; Ya Wang; Yonghui Li 001; Min-Hsiu Hsieh; Jiangfeng Du (CoRR, 2021)

Sublinear quantum algorithms for estimating von Neumann entropy. - Tom Gur; Min-Hsiu Hsieh; Sathyawageeswar Subramanian (Electron. Colloquium Comput. Complex., 2021)

Hierarchy of quantum operations in manipulating coherence and entanglement. - Hayata Yamasaki; Madhav Krishnan Vijayan; Min-Hsiu Hsieh (Quantum, 2021)

Asymmetric Quantum Concatenated and Tensor Product Codes With Large Z-Distances. - Jihao Fan; Jun Li 004; Jianxin Wang 002; Zhihui Wei; Min-Hsiu Hsieh (IEEE Trans. Commun., 2021)

Non-Asymptotic Classical Data Compression With Quantum Side Information. - Hao-Chung Cheng; Eric P. Hanson; Nilanjana Datta; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2021)

c3-Locally Testable Codes from Lossless Expanders. - Ting-Chun Lin; Min-Hsiu Hsieh (ISIT, 2022)

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits. - Kaining Zhang; Liu Liu 014; Min-Hsiu Hsieh; Dacheng Tao (NeurIPS, 2022)

Partial Equivalence Checking of Quantum Circuits. - Tian-Fu Chen; Jie-Hong R. Jiang; Min-Hsiu Hsieh (QCE, 2022)

First Arrival Position in Molecular Communication Via Generator of Diffusion Semigroup. - Yen-Chi Lee; Jen-Ming Wu; Min-Hsiu Hsieh (CoRR, 2022)

Capacity of First Arrival Position Channel in Diffusion-Based Molecular Communication. - Yen-Chi Lee; Min-Hsiu Hsieh (CoRR, 2022)

Gaussian initializations help deep variational quantum circuits escape from the barren plateau. - Kaining Zhang; Min-Hsiu Hsieh; Liu Liu 014; Dacheng Tao (CoRR, 2022)

Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression. - Jun Qi 002; Chao-Han Huck Yang; Pin-Yu Chen; Min-Hsiu Hsieh (CoRR, 2022)

One-Shot Hybrid State Redistribution. - Eyuri Wakakuwa; Yoshifumi Nakata; Min-Hsiu Hsieh (Quantum, 2022)

Duality Between Source Coding With Quantum Side Information and Classical-Quantum Channel Coding. - Hao-Chung Cheng; Eric P. Hanson; Nilanjana Datta; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2022)

Quantum Differentially Private Sparse Regression Learning. - Yuxuan Du; Min-Hsiu Hsieh; Tongliang Liu; Shan You; Dacheng Tao (IEEE Trans. Inf. Theory, 2022)

Towards a general framework of Randomized Benchmarking incorporating non-Markovian Noise. - Pedro Figueroa-Romero; Kavan Modi; Min-Hsiu Hsieh (Quantum, 2022)

One-Shot Bounds on State Generation using Correlated Resources and Local Encoders. - Ian George; Min-Hsiu Hsieh; Eric Chitambar (ISIT, 2023)

Decision Diagrams for Symbolic Verification of Quantum Circuits. - Xin Hong; Wei-Jia Huang; Wei-Chen Chien; Yuan Feng 001; Min-Hsiu Hsieh; Sanjiang Li; Chia-Shun Yeh; Mingsheng Ying (QCE, 2023)

Good Quantum LDPC Codes with Linear Time Decoders. - Irit Dinur; Min-Hsiu Hsieh; Ting-Chun Lin; Thomas Vidick (STOC, 2023)

Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification. - Yuxuan Du; Yibo Yang; Dacheng Tao; Min-Hsiu Hsieh (CoRR, 2023)

One-Shot Distributed Source Simulation: As Quantum as it Can Get. - Ian George; Min-Hsiu Hsieh; Eric Chitambar (CoRR, 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 (CoRR, 2023)

Capacity Bounds for Vertically-Drifted First Arrival Position Channels under a Covariance Constraint. - Yun-Feng Lo; Yen-Chi Lee; Min-Hsiu Hsieh (CoRR, 2023)

Multimodal deep representation learning for quantum cross-platform verification. - Yang Qian; Yuxuan Du; Zhenliang He; Min-Hsiu Hsieh; Dacheng Tao (CoRR, 2023)

Partially Concatenated Calderbank-Shor-Steane Codes Achieving the Quantum Gilbert-Varshamov Bound Asymptotically. - Jihao Fan; Jun Li 004; Ya Wang; Yonghui Li 001; Min-Hsiu Hsieh; Jiangfeng Du (IEEE Trans. Inf. Theory, 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; Alán Aspuru-Guzik; Alex Zhavoronkov; Min-Hsiu Hsieh; Yen-Chu Lin (J. Chem. Inf. Model., 2023)

Counting stabiliser codes for arbitrary dimension. - Tanmay Singal; Che Chiang; Eugene Hsu; Eunsang Kim; Hsi-Sheng Goan; Min-Hsiu Hsieh (Quantum, 2023)

Recent Advances for Quantum Neural Networks in Generative Learning. - Jinkai Tian; Xiaoyu Sun; Yuxuan Du; Shanshan Zhao 001; Qing Liu 027; Kaining Zhang; Wei Yi; Wanrong Huang; Chaoyue Wang; Xingyao Wu; Min-Hsiu Hsieh; Tongliang Liu; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

On the Capacity of Zero-Drift First Arrival Position Channels in Diffusive Molecular Communication. - Yen-Chi Lee; Min-Hsiu Hsieh (ICC, 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 (IJCNN, 2024)

Training Classical Neural Networks by Quantum Machine Learning. - Chen-Yu Liu; En-Jui Kuo; Chu-Hsuan Abraham Lin; Sean Chen; Jason Gemsun Young; Yeong-Jar Chang; Min-Hsiu Hsieh (QCE, 2024)

Introduction to Quantum-Train Toolkit. - Chen-Yu Liu; Chu-Hsuan Abraham Lin; Wei-Jia Huang; Min-Hsiu Hsieh (QCE, 2024)

QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train. - Chen-Yu Liu; Chu-Hsuan Abraham Lin; Chao-Han Huck Yang; Kuan-Cheng Chen; Min-Hsiu Hsieh (QCE, 2024)

(Quantum) Complexity of Testing Signed Graph Clusterability. - Kuo-Chin Chen; Simon Apers; Min-Hsiu Hsieh (TQC, 2024)

Degradability of Modified Landau-Streater Type Low-Noise Quantum Channels in High Dimensions. - Yun-Feng Lo; Yen-Chi Lee; Min-Hsiu Hsieh (CoRR, 2024)

Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy. - Nai-Hui Chia; Min-Hsiu Hsieh; Shih-Han Hung; En-Jui Kuo (CoRR, 2024)

The curse of random quantum data. - Kaining Zhang; Junyu Liu; Liu Liu 014; Liang Jiang; Min-Hsiu Hsieh; Dacheng Tao (CoRR, 2024)

Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits. - Yuxuan Du; Min-Hsiu Hsieh; Dacheng Tao (CoRR, 2024)

Unconditionally separating noisy QNC0 from bounded polynomial threshold circuits of constant depth. - Min-Hsiu Hsieh; Leandro Mendes; Michael de Oliveira; Sathyawageeswar Subramanian (CoRR, 2024)

Quantum optimization for training quantum neural networks. - Yidong Liao; Min-Hsiu Hsieh; Chris Ferrie (Quantum Mach. Intell., 2024)

Characterizing First Arrival Position Channels: Noise Distribution and Capacity Analysis. - Yen-Chi Lee; Yun-Feng Lo; Jen-Ming Wu; Min-Hsiu Hsieh (IEEE Trans. Commun., 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)

Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems. - Kuan-Cheng Chen; Felix Burt; Shang Yu; Chen-Yu Liu; Min-Hsiu Hsieh; Kin K. Leung (ISCAS, 2025)

AutoQ 2.0: From Verification of Quantum Circuits to Verification of Quantum Programs. - Yu-Fang Chen 001; Kai-Min Chung; Min-Hsiu Hsieh; Wei-Jia Huang; Ondrej Lengál; Jyun-Ao Lin; Wei-Lun Tsai (TACAS (3), 2025)

Tradeoff Constructions for Quantum Locally Testable Codes. - Adam Wills; Ting-Chun Lin; Min-Hsiu Hsieh (IEEE Trans. Inf. Theory, 2025)

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers. - Yuxuan Du; Xinbiao Wang; Naixu Guo; Zhan Yu; Yang Qian; Kaining Zhang; Min-Hsiu Hsieh; Patrick Rebentrost; Dacheng Tao (CoRR, 2025)

VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning. - Jun Qi 002; Chao-Han Yang; Pin-Yu Chen; Min-Hsiu Hsieh (CoRR, 2025)

Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation. - Jun Qi 002; Chen-Yu Liu; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Min-Hsiu Hsieh (CoRR, 2025)

Hardness of Quantum Distribution Learning and Quantum Cryptography. - Taiga Hiroka; Min-Hsiu Hsieh; Tomoyuki Morimae (CoRR, 2025)

Quantum-Train: rethinking hybrid quantum-classical machine learning in the model compression perspective. - Chen-Yu Liu; En-Jui Kuo; Chu-Hsuan Abraham Lin; Jason Gemsun Young; Yeong-Jar Chang; Min-Hsiu Hsieh; Hsi-Sheng Goan (Quantum Mach. Intell., 2025)