Adaptive strategies for graph-state growth in the presence of monitored errors

Earl T. Campbell, Joseph Fitzsimons, Simon C. Benjamin, and Pieter Kok
Phys. Rev. A 75, 042303 – Published 2 April 2007

Abstract

Graph states (or cluster states) are the entanglement resource that enables one-way quantum computing. They can be grown by projective measurements on the component qubits. Such measurements typically carry a significant failure probability. Moreover, they may generate imperfect entanglement. Here we describe strategies to adapt growth operations in order to cancel incurred errors. Nascent states that initially deviate from the ideal graph states evolve toward the desired high fidelity resource without impractical overheads. Our analysis extends the diagrammatic language of graph states to include characteristics such as tilted vertices, weighted edges, and partial fusion, which arise from experimental imperfections. The strategies we present are relevant to parity projection schemes such as optical path erasure with distributed matter qubits.

  • Figure
  • Figure
  • Figure
  • Figure
  • Received 6 July 2006

DOI:https://doi.org/10.1103/PhysRevA.75.042303

©2007 American Physical Society

Authors & Affiliations

Earl T. Campbell*, Joseph Fitzsimons, Simon C. Benjamin, and Pieter Kok

  • Quantum and Nano Technology Group, Department of Materials, Oxford University, Oxford, United Kingdom

  • *Electronic address: earl.campbell@materials.ox.ac.uk

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 75, Iss. 4 — April 2007

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review A

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×