Journal Papers (peer-reviewed)

  1. Hao-Chung Cheng* and Li Gao, “Tight One-Shot Analysis for Convex Splitting with Applications in Quantum Information Theory,” IEEE Transactions on Information Theory (Early Access), DOI: 10.1109/TIT.2025.3612051.
  2. Po-Chieh Liu and Hao-Chung Cheng*, “On Araki-type Trace Inequalities,” Linear Algebra and its Applications, 728, 320–330 (January 2026), DOI: 10.1016/j.laa.2025.08.023.
  3. Sreejith Sreekumar, Christoph Hirche, Hao-Chung Cheng, and Mario Berta, “Distributed Quantum Hypothesis Testing Under Zero-Rate Communication Constraints,” Annales Henri Poincaré, 3 October 2025, DOI: 10.1007/s00023-025-01623-6.
  4. Hao-Chung Cheng, Nilanjana Datta, Nana Liu, Theshani Nuradha, Robert Salzmann, and Mark M. Wilde, “An invitation to the sample complexity of quantum hypothesis testing”, npj Quantum Information, Volume 11, Number 94, 05 June 2025. ​DOI: 10.1038/s41534-025-00980-8
  5. Masahito Hayashi, Hao-Chung Cheng, and Li Gao, “Resolvability of classical-quantum channels,” IEEE Transactions on Information Theory, (Accepted, To Appear). DOI: 10.1109/TIT.2025.3570569
  6. Barış Nakiboğlu and Hao-Chung Cheng,“The Mutual Information In The Vicinity of Capacity-Achieving Input Distributions,”
    IEEE Transactions on Information Theory, (Accepted, To Appear). DOI: 10.1109/TIT.2025.3562098
  7. Chun-Tse Li, and Hao-Chung Cheng*, “Adaptive Circuit Learning of Born Machine: Towards Realization of Amplitude Embed-
    ding and Quantum Data Loading,” Quantum Science and Technology, 10, 025019, February 2025. DOI: 10.1088/2058-9565/adaede
  8. Mario Berta, Hao-Chung Cheng*, Li Gao, “Quantum Broadcast Channel Simulation via Multipartite Convex Splitting,” Commu-
    nications in Mathematical Physics, Volume 406, Number 36, January 2025. DOI: 10.1007/s00220-024-05191-4
  9. Chin-Yi Cheng, Chien-Yi Yang, Yi-Hsiang Kuo, Ren-Chu Wang, Hao-Chung Cheng*, Chung-Yang (Ric) Huang, “Robust Qubit Mapping Algorithm via Double-Source Optimal Routing on Large Quantum Circuits,” ACM Transactions on Quantum Computing, Volume 5, Issue 3, Pages 1–26, 2024. (SCI) DOI: 10.1145/3680291
  10. Yu-Chen Shen, Li Gao, Hao-Chung Cheng*, “Optimal Second-Order Rates for Quantum Soft Covering and Privacy Amplification,” IEEE Transactions on Information Theory, Volume: 70, Issue: 7, July 2024. (SCI) DOI: 10.1109/TIT.2024.3351963
  11. Hao-Chung Cheng* “Simple and Tighter Derivation of Achievability for Classical Communication Over Quantum Channels,” PRX Quantum, 4, 040330, 22 November 2023. (SCI) DOI: 10.1103/PRXQuantum.4.040330
  12. Hao-Chung Cheng, Andreas Winter, and Nengkun Yu, "Discrimination of Quantum States Under Locality Constraints in the Many-Copy Setting," Communications in Mathematical Physics, 404:151-183, 14 September 2023. (SCI) DOI: 10.1007/s00220-023-04836-0
  13. Hao-Chung Cheng and Li Gao, “Error Exponent and Strong Converse for Quantum Soft Covering,” IEEE Transactions on Information Theory, 70(5):3499-3511, 22 August 2023. DOI: 10.1109/TIT.2023.3307437
  14. 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 Transactions on Information Theory, 68(11):7315-7345, November 2022. (SCI)
    DOI: 10.1109/TIT.2022.3182748
  15. Yu Shee, Pei-Kai Tsai, Cheng-Lin Hong, Hao-Chung Cheng, and Hsi-Sheng Goan, “Qubit-efficientencoding scheme for quantum simulations of electronic structure,” Physical Review Research 4, 023154, 27 May 2022. DOI: 10.1103/PhysRevResearch.4.023154
  16. Ching-Yi Lai and Hao-Chung Cheng, “Learning quantum circuits of some T gates,” IEEE Transactions on Information Theory, 68(6):3951–3964, 15 Feb. 2022. DOI: 10.1109/TIT.2022.3151760
  17. Hao-Chung Cheng*, Li Gao, Min-Hsiu Hsieh, “Properties of Noncommutative Rényi and Augustin Information,” Communications in Mathematical Physics, 390(2):501–544, 04 Feb. 2022. DOI: 10.1007/s00220-022-04319-8
  18. Hao-Chung Cheng*, Eric P. Hanson, Nilanjana Datta, and Min-Hsiu Hsieh, “Non-Asymptotic Classical Data Compression with Quantum Side Information,” IEEE Transactions on Information Theory, 67(2):902–930, 17 Feb. 2021. DOI: 10.1109/TIT.2020.3038517
  19. Hao-Chung Cheng*, Nilanjana Datta, and Cambyse Rouźe, “Strong converse bounds in quantum network information theory,” IEEE Transactions on Information Theory, 67(4):2269-2292 , 09 Feb. 2021. DOI: 10.1109/TIT.2021.3058166
  20. Hao-Chung Cheng, Min-Hsiu Hsieh and Marco Tomamichel, “Quantum Sphere-Packing Bounds with Polynomial Prefactors,” IEEE Transactions on Information Theory, 65(5):2872–2898 , May 2019. DOI: 10.1109/TIT.2019.2891347
  21. Hao-Chung Cheng and Min-Hsiu Hsieh, “Matrix Poincaré, Φ-Sobolev Inequalities, and Quantum En- sembles,” Journal of Mathematical Physics, 60(3):032201, 2019. DOI: 10.1063/1.5035381
  22. Hao-Chung Cheng, Min-Hsiu Hsieh, “Moderate Deviation Analysis for Classical-Quantum Channels and Quantum Hypothesis Testing,” IEEE Transactions on Information Theory, 64(2):1-19, Feb 2018. DOI: 10.1109/TIT.2017.2781254
  23. Hao-Chung Cheng, Min-Hsiu Hsieh, and Marco Tomamichel, “Exponential Decay of Matrix Ф-Entropies on Markov Semigroups with Applications to Dynamical Evolutions of Quantum Ensembles,” Journal of Mathematical Physics, 58(9):092202, 2017. ​DOI: 10.1063/1.5000846
  24. Hao-Chung Cheng, and Min-Hsiu Hsieh, “On the Concavity of Auxiliary Function in Classical-Quantum Channels,” IEEE Transactions on Information Theory, 62(10), Oct 2016. DOI: 10.1109/TIT.2016.2598835
  25. Hao-Chung Cheng, and Min-Hsiu Hsieh, “Characterizations of Matrix and Operator-Valued Φ-Entropies, and Operator Efron-Stein Inequalities,” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science, 472(2187):20150563, Mar 2016. ​DOI: 10.1098/rspa.2015.0563
  26. Hao-Chung Cheng, Min-Hsiu Hsieh, and Ping-Cheng Yeh, “The Learnability of Unknown Quantum Measurements,” Quantum Information and Computation, 16(7&8):0615–0656, 2016. URL