Error Correction for Non-Abelian Topological Quantum Computation

Abstract

The possibility of quantum computation using non-Abelian anyons has been considered for over a decade. However, the question of how to obtain and process information about what errors have occurred in order to negate their effects has not yet been considered. This is in stark contrast with quantum computation proposals for Abelian anyons, for which decoding algorithms have been tailor-made for many topological error-correcting codes and error models. Here, we address this issue by considering the properties of non-Abelian error correction, in general. We also choose a specific anyon model and error model to probe the problem in more detail. The anyon model is the charge submodel of D(S3). This shares many properties with important models such as the Fibonacci anyons, making our method more generally applicable. The error model is a straightforward generalization of those used in the case of Abelian anyons for initial benchmarking of error correction methods. It is found that error correction is possible under a threshold value of 7 for the total probability of an error on each physical spin. This is remarkably comparable with the thresholds for Abelian models.

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Document Details

Document Type
Technical Report
Publication Date
Mar 28, 2014
Accession Number
AD1056162

Entities

People

  • Daniel Loss
  • James R. Wootton
  • Jan Burri
  • Sofyan Iblisdir

Organizations

  • University of Barcelona
  • University of Basel

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Antiparticles
  • Cecum
  • Coding
  • Computational Complexity
  • Computations
  • Computer Programming
  • Decoders
  • Decoding
  • Extraction
  • Linear Systems
  • Measurement
  • Monte Carlo Method
  • Notation
  • Particles
  • Permutations
  • Probability
  • Probability Distributions
  • Quantum Computers
  • Quantum Computing
  • Quantum Memories
  • Quantum Properties
  • Quasiparticles
  • Simulations
  • Statistics
  • Subatomic Particles

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Computer Programming and Software Development.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Quantum Computing