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  • 标题:Complexity Classification of Two-Qubit Commuting Hamiltonians
  • 本地全文:下载
  • 作者:Adam Bouland ; Laura Mancinska ; Xue Zhang
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2016
  • 卷号:50
  • 页码:28:1-28:33
  • DOI:10.4230/LIPIcs.CCC.2016.28
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We classify two-qubit commuting Hamiltonians in terms of their computational complexity. Suppose one has a two-qubit commuting Hamiltonian H which one can apply to any pair of qubits, starting in a computational basis state. We prove a dichotomy theorem: either this model is efficiently classically simulable or it allows one to sample from probability distributions which cannot be sampled from classically unless the polynomial hierarchy collapses. Furthermore, the only simulable Hamiltonians are those which fail to generate entanglement. This shows that generic two-qubit commuting Hamiltonians can be used to perform computational tasks which are intractable for classical computers under plausible assumptions. Our proof makes use of new postselection gadgets and Lie theory.
  • 关键词:Quantum Computing; Sampling Problems; Commuting Hamiltonians; IQP; Gate Classification Theorems
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