Collaborative Computing: Networking, Applications and Worksharing. 14th EAI International Conference, CollaborateCom 2018, Shanghai, China, December 1-3, 2018, Proceedings

Research Article

An Efficient Quantum Circuits Optimizing Scheme Compared with QISKit (Short Paper)

  • @INPROCEEDINGS{10.1007/978-3-030-12981-1_32,
        author={Xin Zhang and Hong Xiang and Tao Xiang},
        title={An Efficient Quantum Circuits Optimizing Scheme Compared with QISKit (Short Paper)},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 14th EAI International Conference, CollaborateCom 2018, Shanghai, China, December 1-3, 2018, Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2019},
        month={2},
        keywords={Quantum computing Quantum circuit Circuit optimizing},
        doi={10.1007/978-3-030-12981-1_32}
    }
    
  • Xin Zhang
    Hong Xiang
    Tao Xiang
    Year: 2019
    An Efficient Quantum Circuits Optimizing Scheme Compared with QISKit (Short Paper)
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-12981-1_32
Xin Zhang1, Hong Xiang,*, Tao Xiang1
  • 1: Chongqing University
*Contact email: xianghong@cqu.edu.cn

Abstract

Recently, the development of quantum chips has made great progress – the number of qubits is increasing and the fidelity is getting higher. However, qubits of these chips are not always fully connected, which sets additional barriers for implementing quantum algorithms and programming quantum programs. In this paper, we introduce a general circuit optimizing scheme, which can efficiently adjust and optimize quantum circuits according to arbitrary given qubits’ layout by adding additional quantum gates, exchanging qubits and merging single-qubit gates. Compared with the optimizing algorithm of IBM’s QISKit, the quantum gates consumed by our scheme is 74.7%, and the execution time is only 12.9% on average.