I am an associate professor of the CS department of National Tsing Hua University, Taiwan. My research areas include quantum algorithms, quantum query complexities, post-quantum cryptography, and quantum machine learning.
Undergraduate (2006-2009): California Institute of Technology
Graduate (2009-2015): Massachusetts Institute of Technology under Edward Farhi
Postdoctoral quantum information reseacher at The University of Texas at Austin under professor Scott Aaronson (2018-2020)
Postdoctoral researcher at Centre for Quantum Technologies (2016-2018)
Chia, Nai-Hui, Ching-Yi Lai, and Han-Hsuan Lin. "Efficient learning of $ t $-doped stabilizer states with single-copy measurements." Quantum 8 (2024): 1250.
Boddu, Naresh Goud, Rahul Jain, and Han-Hsuan Lin. "On relating one-way classical and quantum communication complexities." Quantum 7 (2023): 1010.
Nai-Hui Chia, Kai-Min Chung, Yao-Ching Hsieh, Han-Hsuan Lin, Yao-Ting Lin, and Yu-Ching Shen. “On the Impossibility of General Parallel Fast-Forwarding of Hamiltonian Simulation.” In Proceedings of the 38th Computational Complexity Conference (CCC 2023), 33:1–33:45. LIPIcs, vol. 264. Schloss Dagstuhl, 2023. https://doi.org/10.4230/LIPIcs.CCC.2023.33
Chung, Kai-Min, Yi Lee, Han-Hsuan Lin, and Xiaodi Wu. "Constant-round blind classical verification of quantum sampling." In Annual International Conference on the Theory and Applications of Cryptographic Techniques, pp. 707-736. Cham: Springer International Publishing, 2022.
Chung, Kai-Min, and Han-Hsuan Lin. ”On the Sample Complexity of PAC Learning Quantum Process.” arXiv preprint arXiv:1810.10938 (2018). Accepted talk at TQC 2021, 16th Conference on the Theory of Quantum Computation, Communication and Cryptography
Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang, Ruizhe Zhang. ”On the Quantum Complexity of Closest Pair and Related Problems”. arXiv preprint arXiv:1911.01973 (2019). Accepted talk at CCC 2020, the 35th Computational Complexity Conference.
Nai-Hui Chia, András Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang. ”Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quan- tum machine learning”. arXiv preprint arXiv:1910.06151 (2019). Accepted talk at QIP 2020, the 23rd Annual Conference on Quantum Information Processing.
Chia, Nai-Hui, Tongyang Li, Han-Hsuan Lin, and Chunhao Wang. ”Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches.” arXiv preprint arXiv:1901.03254 (2019). Accepted talk at MFCS 2020, the 45th International Symposium onMathematical Foundations of Computer Science.
Chia, Nai-Hui, Han-Hsuan Lin, and Chunhao Wang. ”Quantum-inspired sublinear classical algorithms for solving low-rank linear systems.” arXiv preprint arXiv:1811.04852 (2018). Accepted talk at ISAAC 2020, The 31st International Symposium on Algorithms and Computation.
D. Aggarwal, K.-M. Chung, H.-H. Lin, and T. Vidick. A Quantum-Proof Non-malleable Extractor. In Annual International Conference on the Theory and Applications of Cryp- tographic Techniques, pp. 442-469. Springer, Cham, 2019. Available as e-print at arXiv:1710.00557 [quant-ph]. Accepted talk at Eurocrypt 2019, the 38th Annual Inter- national Conference on the Theory and Applications of Cryptographic Techniques.
C. Y.-Y. Lin and H.-H. Lin. Upper bounds on quantum query complexity inspired by the Elitzur-Vaidman bomb tester. Theory of Computing 12(18), 2016, 1-35. Available as e-print at arXiv:1410.0932 [quant-ph], 2014. Accepted talk at CCC 2015, the 30th Computational Complexity Conference, and QIP 2015, the 18th Conference on Quantum Information Processing.
S. Kimmel, C. Y.-Y. Lin, and H.-H. Lin. Oracles with costs. Available as e-print at arXiv:1502.02174 [quant-ph], 2015. Accepted talk at TQC 2015, the 10th Conference on the Theory of Quantum Computation, Communication and Cryptography.
Lin, Han-Hsuan, and Ronald de Wolf. "Getting almost all the bits from a quantum random access code." arXiv preprint arXiv:2506.01903 (2025).
E. Crosson, E. Farhi, C. Y.-Y. Lin, H.-H. Lin, and P. Shor. Different strategies for opti- mization using the quantum adiabatic algorithm. Available as e-print at arXiv:1401.7320 [quant-ph], 2014.
email: linhh at cs.nthu.edu.tw
Office: 台達(delta) 610