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  • 标题:Quantum Probability Oracles & Multidimensional Amplitude Estimation
  • 本地全文:下载
  • 作者:van Apeldoorn, Joran
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2021
  • 卷号:197
  • 页码:9:1-9:11
  • DOI:10.4230/LIPIcs.TQC.2021.9
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We give a multidimensional version of amplitude estimation. Let p be an n-dimensional probability distribution which can be sampled from using a quantum circuit U_p. We show that all coordinates of p can be estimated up to error ε per coordinate using Ã.(1/(ε)) applications of U_p and its inverse. This generalizes the normal amplitude estimation algorithm, which solves the problem for n = 2. Our results also imply a Ã.(n/ε) query algorithm for ð"â,-norm (the total variation distance) estimation and a Ã.(â^Sn/ε) query algorithm for ð"â,,-norm. We also show that these results are optimal up to logarithmic factors.
  • 关键词:quantum algorithms; amplitude estimation; monte carlo
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