TY - JOUR
AU1 - Meng, Zhaoyuan
AU2 - Zhong, Jiarun
AU3 - Xu, Shibo
AU4 - Wang, Ke
AU5 - Chen, Jiachen
AU6 - Jin, Feitong
AU7 - Zhu, Xuhao
AU8 - Gao, Yu
AU9 - Wu, Yaozu
AU1 - Zhang, Chuanyu
AU1 - Wang, Ning
AU1 - Zou, Yiren
AU1 - Zhang, Aosai
AU1 - Cui, Zhengyi
AU1 - Shen, Fanhao
AU1 - Bao, Zehang
AU1 - Zhu, Zitian
AU1 - Tan, Ziqi
AU1 - Li, Tingting
AU2 - Zhang, Pengfei
AU2 - Xiong, Shiying
AU2 - Li, Hekang
AU2 - Guo, Qiujiang
AU2 - Wang, Zhen
AU2 - Song, Chao
AU2 - Wang, H.
AU2 - Yang, Yue
AB - Abstract:Recent advancements of intermediate-scale quantum processors have triggered tremendous interest in the exploration of practical quantum advantage. The simulation of fluid dynamics, a highly challenging problem in classical physics but vital for practical applications, emerges as a good candidate for showing quantum utility. Here, we report an experiment on the digital simulation of unsteady flows, which consists of quantum encoding, evolution, and detection of flow states, with a superconducting quantum processor. The quantum algorithm is based on the Hamiltonian simulation using the hydrodynamic formulation of the Schrödinger equation. With the median fidelities of 99.97% and 99.67% for parallel single- and two-qubit gates respectively, we simulate the dynamics of a two-dimensional (2D) compressible diverging flow and a 2D decaying vortex with ten qubits. The experimental results well capture the temporal evolution of averaged density and momentum profiles, and qualitatively reproduce spatial flow fields with moderate noises. This work demonstrates the potential of quantum computing in simulating more complex flows, such as turbulence, for practical applications.
TI - Simulating unsteady fluid flows on a superconducting quantum processor
JF - Quantum Physics
DO - 10.48550/arxiv.2404.15878
DA - 2024-04-24
UR - https://www.deepdyve.com/lp/arxiv-cornell-university/simulating-unsteady-fluid-flows-on-a-superconducting-quantum-processor-6Ac7qu00Tx
VL - 2024
IS - 2404
DP - DeepDyve
ER -