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Enhancing detection of topological order by local error correction

Author

Listed:
  • Iris Cong

    (Harvard University)

  • Nishad Maskara

    (Harvard University)

  • Minh C. Tran

    (Harvard University
    Massachusetts Institute of Technology)

  • Hannes Pichler

    (University of Innsbruck
    Institute for Quantum Optics and Quantum Information of the Austrian Academy of Sciences)

  • Giulia Semeghini

    (Harvard University)

  • Susanne F. Yelin

    (Harvard University)

  • Soonwon Choi

    (Massachusetts Institute of Technology)

  • Mikhail D. Lukin

    (Harvard University)

Abstract

The exploration of topologically-ordered states of matter is a long-standing goal at the interface of several subfields of the physical sciences. Such states feature intriguing physical properties such as long-range entanglement, emergent gauge fields and non-local correlations, and can aid in realization of scalable fault-tolerant quantum computation. However, these same features also make creation, detection, and characterization of topologically-ordered states particularly challenging. Motivated by recent experimental demonstrations, we introduce a paradigm for quantifying topological states—locally error-corrected decoration (LED)—by combining methods of error correction with ideas of renormalization-group flow. Our approach allows for efficient and robust identification of topological order, and is applicable in the presence of incoherent noise sources, making it particularly suitable for realistic experiments. We demonstrate the power of LED using numerical simulations of the toric code under a variety of perturbations. We subsequently apply it to an experimental realization, providing new insights into a quantum spin liquid created on a Rydberg-atom simulator. Finally, we extend LED to generic topological phases, including those with non-abelian order.

Suggested Citation

  • Iris Cong & Nishad Maskara & Minh C. Tran & Hannes Pichler & Giulia Semeghini & Susanne F. Yelin & Soonwon Choi & Mikhail D. Lukin, 2024. "Enhancing detection of topological order by local error correction," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45584-6
    DOI: 10.1038/s41467-024-45584-6
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    References listed on IDEAS

    as
    1. Roman Stricker & Davide Vodola & Alexander Erhard & Lukas Postler & Michael Meth & Martin Ringbauer & Philipp Schindler & Thomas Monz & Markus Müller & Rainer Blatt, 2020. "Experimental deterministic correction of qubit loss," Nature, Nature, vol. 585(7824), pages 207-210, September.
    2. Jarrod R. McClean & Sergio Boixo & Vadim N. Smelyanskiy & Ryan Babbush & Hartmut Neven, 2018. "Barren plateaus in quantum neural network training landscapes," Nature Communications, Nature, vol. 9(1), pages 1-6, December.
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