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Implementation of a quantum search algorithm on a quantum computer

Author

Listed:
  • Jonathan A. Jones

    (Oxford Centre for Molecular Sciences, New Chemistry Laboratory
    Centre for Quantum Computation, Clarendon Laboratory)

  • Michele Mosca

    (Centre for Quantum Computation, Clarendon Laboratory
    Mathematical Institute)

  • Rasmus H. Hansen

    (Centre for Quantum Computation, Clarendon Laboratory)

Abstract

In 1982 Feynman1 observed that quantum-mechanical systems have an information-processing capability much greater than that of corresponding classical systems, and could thus potentially be used to implement a new type of powerful computer. Three years later Deutsch2 described a quantum-mechanical Turing machine, showing that quantum computers could indeed be constructed. Since then there has been extensive research in this field, but although the theory is fairly well understood, actually building a quantum computer has proved extremely difficult. Only two methods have been used to demonstrate quantum logic gates: ion traps3,4 and nuclear magnetic resonance (NMR)5,6. NMR quantum computers have recently been used to solve a simple quantum algorithm—the two-bit Deutsch problem7,8. Here we show experimentally that such a computer can be used to implement a non-trivial fast quantum search algorithm initially developed by Grover9,10, which can be conducted faster than a comparable search on a classical computer.

Suggested Citation

  • Jonathan A. Jones & Michele Mosca & Rasmus H. Hansen, 1998. "Implementation of a quantum search algorithm on a quantum computer," Nature, Nature, vol. 393(6683), pages 344-346, May.
  • Handle: RePEc:nat:nature:v:393:y:1998:i:6683:d:10.1038_30687
    DOI: 10.1038/30687
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    Cited by:

    1. Cafaro, Carlo, 2017. "Geometric algebra and information geometry for quantum computational software," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 154-196.

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