Experimental realization of quantum algorithms for a linear system inspired by adiabatic quantum computing

Jingwei Wen, Xiangyu Kong, Shijie Wei, Bixue Wang, Tao Xin, and Guilu Long
Phys. Rev. A 99, 012320 – Published 14 January 2019

Abstract

Adiabatic quantum computation is of fundamental importance in the field of quantum computation as it offers an alternative approach to the gate-based model for the manipulation of quantum systems. Recently, an interesting work [arXiv:1805.10549] indicated that we can solve a linear equation system via an algorithm inspired by adiabatic quantum computing. Here we demonstrate the algorithm in a four-qubit nuclear magnetic resonance system by determining the solution of an eight-dimensional linear equation Ax=b. The result is by far the maximum-dimensional linear equation solution with a limited number of qubits in experiments, which include some ingenious simplifications. Our experiment provides the possibility of solving so many practical problems related to linear equations systems and has the potential applications in designing the future quantum algorithms.

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  • Received 26 June 2018

DOI:https://doi.org/10.1103/PhysRevA.99.012320

©2019 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Jingwei Wen1,*, Xiangyu Kong1,*, Shijie Wei2, Bixue Wang1, Tao Xin3,†, and Guilu Long1,4,5,‡

  • 1State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing 100084, China
  • 2IBM Research, Beijing 100094, China
  • 3Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
  • 4Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, People's Republic of China
  • 5Collaborative Innovation Center of Quantum Matter, Beijing 100084, China

  • *These authors contributed equally to this work.
  • xint@sustc.edu.cn
  • gllong@tsinghua.edu.cn

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Vol. 99, Iss. 1 — January 2019

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