Correcting Coherent Errors with Surface Codes

Abstract

Surface codes are building blocks of quantum computing platforms based on 2D arrays of qubits responsible for detecting and correcting errors. The error suppression achieved by the surface code is usually estimated by simulating toy noise models describing random Pauli errors. However, Pauli noise models fail to capture coherent processes such as systematic unitary errors caused by imperfect control pulses. Here we report the first large-scale simulation of quantum error correction protocols based on the surface code in the presence of coherent noise. We observe that the standard Pauli approximation provides an accurate estimate of the error threshold but underestimates the logical error rate in the sub-threshold regime. We find that for large code size the logical-level noise is well approximated by random Pauli errors even though the physical-level noise is coherent. Our work demonstrates that coherent effects do not significantly change the error correcting threshold of surface codes. This gives more confidence in the viability of the fault-tolerance architecture pursued by several experimental groups.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2018
Accession Number
AD1119112

Entities

People

  • Matthias Englbrecht
  • Nolan Peard
  • Robert Konig
  • Sergey Bravyi

Organizations

  • IBM Thomas J. Watson Research Center

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Algorithms
  • Coding
  • Decoding
  • Fault Tolerance
  • Materials
  • Measurement
  • Numbers
  • Probability
  • Probability Distributions
  • Quantum Circuits
  • Quantum Computing
  • Quantum Information
  • Quantum Memories
  • Random Variables
  • Simulations
  • Standards
  • Two Dimensional

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