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文章基本信息

  • 标题:Query-to-Communication Lifting for BPP
  • 作者:Mika Göös ; Toniann Pitassi ; Thomas Watson
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2017
  • 卷号:2017
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    For any n -bit boolean function f , we show that the randomized communication complexity of the composed function f g n , where g is an index gadget, is characterized by the randomized decision tree complexity of f . In particular, this means that many query complexity separations involving randomized models (e.g., classical vs.\ quantum) automatically imply analogous separations in communication complexity.

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