Journal Articles
- Shouvanik Chakrabarti, Andrew M Childs, Shih-Han Hung, Tongyang Li, Chunhao Wang and Xiaodi Wu, 2023, "Quantum algorithm for estimating volumes of convex bodies", ACM Transactions on Quantum Computing, 4, (3), pp. 1--60
- Xiantao Li and Chunhao Wang, 2023, "Succinct description and efficient simulation of non-markovian open quantum systems", Communications in Mathematical Physics, 401, (1), pp. 147--183
- Patrick Rall, Chunhao Wang and Pawel Wocjan, 2023, "Thermal state preparation via rounding promises", Quantum, 7, pp. 1132
- 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
- Richard Cleve, Debbie Leung, Li Liu and Chunhao Wang, 2016, "Near-linear constructions of exact unitary 2-designs", Quantum Information and Computation, 16, (9\&10), pp. 721--756
- Jianliang Ma, Chunhao Wang, Baozhong Yu and Tianzhou Chen, 2012, "Global register alias table: Boosting sequential program on multi-core", Future Generation Computer Systems, 28, (6), pp. 957--964
Conference Proceedings
- Xiantao Li and Chunhao Wang, 2023, "Simulating Markovian open quantum systems using higher-order series expansion", Proceedings of the 50th International Colloquium on Automata, Languages, and Programming (ICALP 2023), pp. 87:1–87:20
- Xiantao Li and Chunhao Wang, 2023, "Efficient Quantum Algorithms for Quantum Optimal Control"
- Andrew Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang and Ruizhe Zhang, 2022, "Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants", pp. 23205--23217
- 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
- Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti and Xiaodi Wu, 2020, "Sublinear classical and quantum algorithms for general matrix games", 35, (10), pp. 8465--8473
- 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
- Chunhao Wang, Lihan Ju, Di Wu, Lingxiang Xiang, Wei Hu and Tianzhou Chen, 2010, "Global Register Alias Table: Executing Sequential Program on Multi-Core", pp. 1818--1824
Other
- Chunhao Wang, 2018, "Computational Problems Related to Open Quantum Systems"
