Quantum State Tomography via Reduced Density Matrices

Tao Xin, Dawei Lu, Joel Klassen, Nengkun Yu, Zhengfeng Ji, Jianxin Chen, Xian Ma, Guilu Long, Bei Zeng, and Raymond Laflamme
Phys. Rev. Lett. 118, 020401 – Published 9 January 2017
PDFHTMLExport Citation

Abstract

Quantum state tomography via local measurements is an efficient tool for characterizing quantum states. However, it requires that the original global state be uniquely determined (UD) by its local reduced density matrices (RDMs). In this work, we demonstrate for the first time a class of states that are UD by their RDMs under the assumption that the global state is pure, but fail to be UD in the absence of that assumption. This discovery allows us to classify quantum states according to their UD properties, with the requirement that each class be treated distinctly in the practice of simplifying quantum state tomography. Additionally, we experimentally test the feasibility and stability of performing quantum state tomography via the measurement of local RDMs for each class. These theoretical and experimental results demonstrate the advantages and possible pitfalls of quantum state tomography with local measurements.

  • Figure
  • Figure
  • Figure
  • Received 22 May 2016

DOI:https://doi.org/10.1103/PhysRevLett.118.020401

© 2017 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Tao Xin1,2, Dawei Lu2, Joel Klassen2,3, Nengkun Yu2,4,5,*, Zhengfeng Ji4,6, Jianxin Chen7, Xian Ma2,8, Guilu Long1, Bei Zeng2,5,9,†, and Raymond Laflamme2,9,10

  • 1State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing 100084, China
  • 2Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
  • 3Department of Physics, University of Guelph, Guelph, N1G 2W1 Ontario, Canada
  • 4Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales 2007, Australia
  • 5Department of Mathematics and Statistics, University of Guelph, Guelph, N1G 2W1 Ontario, Canada
  • 6State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, 100190 Beijing, China
  • 7Joint Center for Quantum Information and Computer Science, University of Maryland, College Park, Maryland, USA
  • 8Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
  • 9Canadian Institute for Advanced Research, Toronto, M5G 1Z8 Ontario, Canada
  • 10Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada

  • *n5yu@uwaterloo.ca
  • zengb@uoguelph.ca

Article Text (Subscription Required)

Click to Expand

Supplemental Material (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 118, Iss. 2 — 13 January 2017

Reuse & Permissions
Access Options
CHORUS

Article Available via CHORUS

Download Accepted Manuscript
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review Letters

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×