no code implementations • 17 Apr 2024 • Heitor P. Casagrande, Bo Xing, William J. Munro, Chu Guo, Dario Poletti
This new approach can accurately learn probabilistic cellular automata processes in different conditions, even when the process is a probabilistic mixture of different chaotic rules.
no code implementations • 29 Jun 2023 • Yangjun Wu, Chu Guo, Yi Fan, Pengyu Zhou, Honghui Shang
Neural network quantum state (NNQS) has emerged as a promising candidate for quantum many-body problems, but its practical applications are often hindered by the high cost of sampling and local energy calculation.
no code implementations • 16 Nov 2022 • He-Liang Huang, Xiao-Yue Xu, Chu Guo, Guojing Tian, Shi-Jie Wei, Xiaoming Sun, Wan-su Bao, Gui-Lu Long
To address this challenge, several near-term quantum computing techniques, including variational quantum algorithms, error mitigation, quantum circuit compilation and benchmarking protocols, have been proposed to characterize and mitigate errors, and to implement algorithms with a certain resistance to noise, so as to enhance the capabilities of near-term quantum devices and explore the boundaries of their ability to realize useful applications.
no code implementations • 11 Jun 2020 • Xiao Shi, Yun Shang, Chu Guo
Matrix product state has become the algorithm of choice when studying one-dimensional interacting quantum many-body systems, which demonstrates to be able to explore the most relevant portion of the exponentially large quantum Hilbert space and find accurate solutions.
Computational Physics Quantum Physics
no code implementations • 2 Mar 2020 • Chu Guo, Dario Poletti
For a real function, automatic differentiation is such a standard algorithm used to efficiently compute its gradient, that it is integrated in various neural network frameworks.
1 code implementation • 16 Dec 2019 • Yong Liu, Dongyang Wang, Shichuan Xue, Anqi Huang, Xiang Fu, Xiaogang Qiang, Ping Xu, He-Liang Huang, Mingtang Deng, Chu Guo, Xuejun Yang, Junjie Wu
We demonstrate our method by performing numerical simulations for the tomography of the ground state of a one-dimensional quantum spin chain, using a variational quantum circuit simulator.