Accurate modeling of the storage and buffer nonlinearities in an integrated cat qubit system

ORAL

Abstract

Cat qubits constitute a promising path towards hardware-efficient error correction based on biased noise. In this talk we focus on dissipatively stabilized cat qubits implemented in superconducting circuits. A primary challenge with dissipative stabilization of cat qubits is to realize strong nonlinear mixing between a storage mode and a buffer mode to realize the target dissipation channel, without introducing undesired nonlinearities on these modes. We present theoretical models of a cat qubit system that accurately captures the storage and buffer nonlinearities in an integrated setting with many coupled modes.

Presenters

  • Kyungjoo Noh

    AWS Center for Quantum Computing

Authors

  • Kyungjoo Noh

    AWS Center for Quantum Computing

  • Shahriar Aghaeimeibodi

    AWS Center for Quantum Computing

  • Fernando G Brandão

    AWS Center for Quantum Computing, AWS Center for Quantum Computing; Caltech

  • Connor T Hann

    AWS Center for Quantum Computing

  • Harry Levine

    AWS Center for Quantum Computing

  • Greg MacCabe

    AWS Center for Quantum Computing

  • Matthew Matheny

    AWS Center for Quantum Computing, Caltech

  • Hesam Moradinejad

    AWS Center for Quantum Computing

  • John Owens

    AWS Center for Quantum Computing

  • Oskar Painter

    AWS Center for Quantum Computing

  • Rishi Patel

    AWS Center for Quantum Computing

  • Harald Putterman

    AWS Center for Quantum Computing

  • Joseph Iverson

    AWS Center for Quantum Computing