Physical Review X (Oct 2019)

Stabilized Cat in a Driven Nonlinear Cavity: A Fault-Tolerant Error Syndrome Detector

  • Shruti Puri,
  • Alexander Grimm,
  • Philippe Campagne-Ibarcq,
  • Alec Eickbusch,
  • Kyungjoo Noh,
  • Gabrielle Roberts,
  • Liang Jiang,
  • Mazyar Mirrahimi,
  • Michel H. Devoret,
  • S. M. Girvin

DOI
https://doi.org/10.1103/PhysRevX.9.041009
Journal volume & issue
Vol. 9, no. 4
p. 041009

Abstract

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In quantum error correction, information is encoded in a high-dimensional system to protect it from the environment. A crucial step is to use natural, two-body operations with an ancilla to extract information about errors without causing backaction on the encoded information. Essentially, ancilla errors must not propagate to the encoded system and induce errors beyond those which can be corrected. The current schemes for achieving this fault tolerance to ancilla errors come at the cost of increased overhead requirements. An efficient way to extract error syndromes in a fault-tolerant manner is by using a single ancilla with a strongly biased noise channel. Typically, however, required elementary operations can become challenging when the noise is extremely biased. We propose to overcome this shortcoming by using a bosonic-cat ancilla in a parametrically driven nonlinear oscillator. Such a cat qubit experiences only bit-flip noise, while the phase flips are exponentially suppressed. To highlight the flexibility of this approach, we illustrate the syndrome extraction process in a variety of codes such as qubit-based toric, bosonic-cat, and Gottesman-Kitaev-Preskill codes. Our results open a path for realizing hardware-efficient, fault-tolerant error syndrome extraction.