Extreme dimensionality reduction with quantum modeling TJ Elliott, C Yang, FC Binder, AJP Garner, J Thompson, M Gu Physical Review Letters 125 (26), 260501, 2020 | 38 | 2020 |
Matrix product states for quantum stochastic modeling C Yang, FC Binder, V Narasimhachar, M Gu Physical Review Letters 121 (26), 260602, 2018 | 26 | 2018 |
Provable superior accuracy in machine learned quantum models C Yang, A Garner, F Liu, N Tischler, J Thompson, MH Yung, M Gu, ... arXiv preprint arXiv:2105.14434, 2021 | 8 | 2021 |
Measures of distinguishability between stochastic processes C Yang, FC Binder, M Gu, TJ Elliott Physical Review E 101 (6), 062137, 2020 | 8 | 2020 |
Implementing quantum dimensionality reduction for non-Markovian stochastic simulation KD Wu, C Yang, RD He, M Gu, GY Xiang, CF Li, GC Guo, TJ Elliott Nature Communications 14 (1), 2624, 2023 | 7 | 2023 |
Provably superior accuracy in quantum stochastic modeling C Yang, AJP Garner, F Liu, N Tischler, J Thompson, MH Yung, M Gu, ... Physical Review A 108 (2), 022411, 2023 | 2 | 2023 |
Variational Quantum Circuit Decoupling X Wang, C Yang, M Gu arXiv preprint arXiv:2406.05619, 2024 | | 2024 |
Dimension reduction in quantum sampling of stochastic processes C Yang, M Florido-Llinas, M Gu, TJ Elliott arXiv preprint arXiv:2404.10338, 2024 | | 2024 |
Simulating complex, stochastic processes with quantum physics F Binder, T Elliott, C Yang, A Garner, J Thompson, M Gu Bulletin of the American Physical Society, 2024 | | 2024 |
Dimension reduction in quantum sampling C Yang, MF Llinas, M Gu, TJ Elliott Numerical Computations: Theory and Algorithms NUMTA 2023, 214, 2023 | | 2023 |
Dimensional Reduction in Quantum-Enhanced Stochastic Modelling M Gu, J Thompson, C Yang, O Dahlsten, A Garner, F Liu, N Tischler, ... APS March Meeting Abstracts 2022, Y37. 012, 2022 | | 2022 |
Quantum stochastic modelling and tensor networks C Yang Nanyang Technological University, 2020 | | 2020 |