Quantum State Reduction for Universal Measurement Based Computation

Xie Chen, Runyao Duan, Zhengfeng Ji, and Bei Zeng
Phys. Rev. Lett. 105, 020502 – Published 7 July 2010
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Abstract

Measurement based quantum computation, which requires only single particle measurements on a universal resource state to achieve the full power of quantum computing, has been recognized as one of the most promising models for the physical realization of quantum computers. Despite considerable progress in the past decade, it remains a great challenge to search for new universal resource states with naturally occurring Hamiltonians and to better understand the entanglement structure of these kinds of states. Here we show that most of the resource states currently known can be reduced to the cluster state, the first known universal resource state, via adaptive local measurements at a constant cost. This new quantum state reduction scheme provides simpler proofs of universality of resource states and opens up plenty of space to the search of new resource states.

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  • Received 8 March 2010

DOI:https://doi.org/10.1103/PhysRevLett.105.020502

©2010 American Physical Society

Authors & Affiliations

Xie Chen1, Runyao Duan2,3, Zhengfeng Ji4,5, and Bei Zeng6,7

  • 1Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
  • 2Centre for Quantum Computation and Intelligent Systems (QCIS), Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia
  • 3Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
  • 4Perimeter Institute for Theoretical Physics, Waterloo, Ontario, Canada
  • 5State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
  • 6Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario, Canada
  • 7Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario, Canada

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Issue

Vol. 105, Iss. 2 — 9 July 2010

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