Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.06063 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916865545076736 |
|---|---|
| author | Chen, Zhao-Yun Ma, Teng-Yang Ye, Chuang-Chao Xu, Liang Tan, Ming-Yang Zhuang, Xi-Ning Xu, Xiao-Fan Wang, Yun-Jie Sun, Tai-Ping Chen, Yong Du, Lei Guo, Liang-Liang Zhang, Hai-Feng Tao, Hao-Ran Wang, Tian-Le Yang, Xiao-Yan Zhao, Ze-An Wang, Peng Zhang, Sheng Zhang, Chi Zhao, Ren-Ze Jia, Zhi-Long Kong, Wei-Cheng Dou, Meng-Han Wang, Jun-Chao Liu, Huan-Yu Xue, Cheng Zhang, Peng-Jun-Yi Huang, Sheng-Hong Duan, Peng Wu, Yu-Chun Guo, Guo-Ping |
| author_facet | Chen, Zhao-Yun Ma, Teng-Yang Ye, Chuang-Chao Xu, Liang Tan, Ming-Yang Zhuang, Xi-Ning Xu, Xiao-Fan Wang, Yun-Jie Sun, Tai-Ping Chen, Yong Du, Lei Guo, Liang-Liang Zhang, Hai-Feng Tao, Hao-Ran Wang, Tian-Le Yang, Xiao-Yan Zhao, Ze-An Wang, Peng Zhang, Sheng Zhang, Chi Zhao, Ren-Ze Jia, Zhi-Long Kong, Wei-Cheng Dou, Meng-Han Wang, Jun-Chao Liu, Huan-Yu Xue, Cheng Zhang, Peng-Jun-Yi Huang, Sheng-Hong Duan, Peng Wu, Yu-Chun Guo, Guo-Ping |
| contents | Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. This paper introduces a comprehensive QCFD method, including an iterative method "Iterative-QLS" that suppresses error in quantum linear solver, and a subspace method to scale the solution to a larger size. We implement our method on a superconducting quantum computer, demonstrating successful simulations of steady Poiseuille flow and unsteady acoustic wave propagation. The Poiseuille flow simulation achieved a relative error of less than $0.2\%$, and the unsteady acoustic wave simulation solved a 5043-dimensional matrix. We emphasize the utilization of the quantum-classical hybrid approach in applications of near-term quantum computers. By adapting to quantum hardware constraints and offering scalable solutions for large-scale CFD problems, our method paves the way for practical applications of near-term quantum computers in computational science. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_06063 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers Chen, Zhao-Yun Ma, Teng-Yang Ye, Chuang-Chao Xu, Liang Tan, Ming-Yang Zhuang, Xi-Ning Xu, Xiao-Fan Wang, Yun-Jie Sun, Tai-Ping Chen, Yong Du, Lei Guo, Liang-Liang Zhang, Hai-Feng Tao, Hao-Ran Wang, Tian-Le Yang, Xiao-Yan Zhao, Ze-An Wang, Peng Zhang, Sheng Zhang, Chi Zhao, Ren-Ze Jia, Zhi-Long Kong, Wei-Cheng Dou, Meng-Han Wang, Jun-Chao Liu, Huan-Yu Xue, Cheng Zhang, Peng-Jun-Yi Huang, Sheng-Hong Duan, Peng Wu, Yu-Chun Guo, Guo-Ping Computational Physics Quantum Physics Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. This paper introduces a comprehensive QCFD method, including an iterative method "Iterative-QLS" that suppresses error in quantum linear solver, and a subspace method to scale the solution to a larger size. We implement our method on a superconducting quantum computer, demonstrating successful simulations of steady Poiseuille flow and unsteady acoustic wave propagation. The Poiseuille flow simulation achieved a relative error of less than $0.2\%$, and the unsteady acoustic wave simulation solved a 5043-dimensional matrix. We emphasize the utilization of the quantum-classical hybrid approach in applications of near-term quantum computers. By adapting to quantum hardware constraints and offering scalable solutions for large-scale CFD problems, our method paves the way for practical applications of near-term quantum computers in computational science. |
| title | Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers |
| topic | Computational Physics Quantum Physics |
| url | https://arxiv.org/abs/2406.06063 |