Journal Articles
- Xiantao Li and Chunhao Wang, 2023, "Succinct Description and Efficient Simulation of Non-Markovian Open Quantum Systems", Communications in Mathematical Physics
- Chunhao Wang, 2022, "Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning", Journal of the ACM
- Chunhao Wang and Leonard Wossnig, 2020, "A quantum algorithm for simulating non-sparse Hamiltonians", Quantum Information & Computation, 20, (7-8), pp. 597-615
- Richard Cleve, Debbie W.~Leung, Li Liu and Chunhao Wang, 2016, "Near-linear constructions of exact unitary 2-designs", Quantum Information \& Computation, 16, (9-10), pp. 721--756
- Shouvanik Chakrabarti, Andrew M Childs, Shih-Han Hung, Tongyang Li, Chunhao Wang and Xiaodi Wu, , "Quantum algorithm for estimating volumes of convex bodies", ACM Transactions on Quantum Computing
Conference Proceedings
- Andrew Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang and Ruizhe Zhang, 2023, "Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants"
- Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti and, Xiaodi Wu , 2021, "Sublinear classical and quantum algorithms for general matrix games", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021), 35, (10), pp. 8465-8473
- Nai-Hui Chia, Han-Hsuan Lin and Chunhao Wang, 2020, "Quantum-inspired sublinear classical algorithms for solving low-rank linear systems", pp. 47:1-47:17
- Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang and Ruizhe Zhang, 2020, "On the Quantum Complexity of Closest Pair and Related Problems", Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 169, pp. 16:1--16:43
- Nai-Hui Chia, Tongyang Li, Han-Hsuan Lin and Chunhao Wang, 2020, "Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming", Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 170, pp. 23:1--23:15
- Nai-Hui Chia, Andr\'as Gily\'en, Tongyang Li, Han-Hsuan Lin, Ewin Tang and Chunhao Wang, 2020, "Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning", pp. 387--400
- Richard Cleve and Chunhao Wang, 2017, "Efficient Quantum Algorithms for Simulating Lindblad Evolution", pp. 17:1--17:14
- Chunhao Wang and Qian-Ping Gu, 2011, "Computational study on bidimensionality theory based algorithm for longest path problem", pp. 364--373
