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Sample-Optimal Tomography of Quantum States

  • Jeongwan Haah
  • , Aram W. Harrow
  • , Zhengfeng Ji
  • , Xiaodi Wu
  • , Nengkun Yu
  • Microsoft USA
  • Massachusetts Institute of Technology
  • University of Technology Sydney
  • University of Waterloo
  • CAS - Institute of Software
  • University of Maryland, College Park

Research output: Contribution to journalArticlepeer-review

209 Scopus citations

Abstract

It is a fundamental problem to decide how many copies of an unknown mixed quantum state are necessary and sufficient to determine the state. Previously, it was known only that estimating states to error \epsilon in trace distance required O(dr^{2}/\epsilon ^{2}) copies for a d -dimensional density matrix of rank r. Here, we give a theoretical measurement scheme (POVM) that requires O (dr/ \delta) \ln ~(d/\delta) copies to estimate \rho to error \delta in infidelity, and a matching lower bound up to logarithmic factors. This implies O((dr / \epsilon ^{2}) \ln ~(d/\epsilon)) copies suffice to achieve error \epsilon in trace distance. We also prove that for independent (product) measurements, \Omega (dr^{2}/\delta ^{2}) / \ln (1/\delta) copies are necessary in order to achieve error \delta in infidelity. For fixed d , our measurement can be implemented on a quantum computer in time polynomial in n.

Original languageEnglish
Article number7956181
Pages (from-to)5628-5641
Number of pages14
JournalIEEE Transactions on Information Theory
Volume63
Issue number9
DOIs
StatePublished - Sep 2017

Keywords

  • channel capacity
  • information entropy
  • State estimation
  • statistical analysis

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