Solving Systems of Linear Equations with a Superconducting Quantum Processor
| Autor: | Chao Song, Chao-Yang Lu, Da Xu, Qiujiang Guo, Li Lu, Benxiang Xia, Hui Deng, Xiaobo Zhu, Haohua Wang, Libo Zhang, Dongning Zheng, Zhiguang Yan, Yulin Wu, Jian-Wei Pan, Wuxin Liu, Ming-Cheng Chen, Keqiang Huang, Yarui Zheng |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Physics
Quantum network Quantum Physics General Physics and Astronomy FOS: Physical sciences 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Computational science Quantum technology Theoretical physics Open quantum system Quantum process ComputerSystemsOrganization_MISCELLANEOUS 0103 physical sciences Quantum algorithm Quantum algorithm for linear systems of equations Quantum information 010306 general physics 0210 nano-technology Quantum Physics (quant-ph) Quantum computer |
| ISSN: | 0031-9007 |
| Popis: | Superconducting quantum circuits are a promising candidate for building scalable quantum computers. Here, we use a four-qubit superconducting quantum processor to solve a two-dimensional system of linear equations based on a quantum algorithm proposed by Harrow, Hassidim, and Lloyd [Phys. Rev. Lett. 103, 150502 (2009)PRLTAO0031-900710.1103/PhysRevLett.103.150502], which promises an exponential speedup over classical algorithms under certain circumstances. We benchmark the solver with quantum inputs and outputs, and characterize it by nontrace-preserving quantum process tomography, which yields a process fidelity of 0.837±0.006. Our results highlight the potential of superconducting quantum circuits for applications in solving large-scale linear systems, a ubiquitous task in science and engineering. |
| Databáze: | OpenAIRE |
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