首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:An Approximate Algorithm for Quantum Hamiltonian Identification with Complexity Analysis
  • 本地全文:下载
  • 作者:Yuanlong Wang ; Daoyi Dong ; Ian R. Petersen
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:11744-11748
  • DOI:10.1016/j.ifacol.2017.08.1949
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIdentification of the Hamiltonian is vital for characterizing the dynamical evolution of a quantum system. The dimension of a multi-qubit system increases exponentially with the qubit number, which usually leads to daunting computational complexity for general Hamiltonian identification algorithms. In this paper, we design an efficient quantum Hamiltonian identification method based on periodical sampling. The computational complexity isO(M2+MN2), whereMis the number of unknown parameters to be identified in the Hamiltonian and N is the length of the sampling data. Numerical results with different data lengths demonstrate the effectiveness of the proposed identification algorithm.
  • 关键词:KeywordsQuantum systemsHamiltonian identificationsampling data
国家哲学社会科学文献中心版权所有