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Fast Dissipation-Induced Entanglement In Circuit-QED Using Parametric Interactions

ORAL

Abstract

Dissipative state stabilization seeks to achieve accurate quantum state preparation without the strict timing required by gate-based methods. Recent works have shown how parametric interactions enable the realization of stabilization protocols which do not suffer from the tradeoffs between target state fidelity and preparation time that typically limit the protocols based on resonant driving [1]. In this talk, I will discuss the experimental realization of a parametrically-induced state stabilization scheme in a circuit-QED architecture, where we use novel state-selective parametric driving to prepare a Bell state as an exact dark state of the dissipative dynamics. Our device consists of two transmon qubits coupled to a common resonator with a flux-tunable SQUID coupler. Modulating the loop flux at multiple frequencies allows simultaneous Hamiltonian and dissipation engineering with coupling strengths on the order of tens of MHz. The modular design paves the way towards natural extensions of such schemes to multipartite stabilization.
[1] E. Doucet, F. Reiter, L. Ranzani, A. Kamal, Phys. Rev. Research 2, 023370 (2020).

Presenters

  • Tristan Brown

    University of Massachusetts Lowell, University of Massachusetts Lowell & Raytheon BBN Technologies

Authors

  • Tristan Brown

    University of Massachusetts Lowell, University of Massachusetts Lowell & Raytheon BBN Technologies

  • Emery Doucet

    University of Massachusetts Lowell

  • Florentin Reiter

    ETH Zurich

  • Raymond W Simmonds

    National Institute of Standards and Technology Boulder, National Institute of Standards and Technology, National Institute of Standards and Technology, Boulder, USA

  • Jose Aumentado

    National Institute of Standards and Technology Boulder, National Institute of Standards and Technology, National Institute of Standards and Technology, Boulder, USA

  • Taewan Noh

    National Institute of Standards and Technology Boulder, University of Massachusetts Lowell, National Institute of Standards and Technology

  • Luke Govia

    Raytheon BBN Technologies, BBN Technology - Massachusetts, BBN Technologies

  • Diego Ristè

    Keysight Technologies

  • Guilhem Ribeill

    Raytheon BBN Technologies, BBN Technology - Massachusetts, BBN Technologies

  • Leonardo Ranzani

    BBN Technology - Massachusetts, Raytheon BBN Technologies

  • Archana Kamal

    University of Massachusetts Lowell, University of Massachusetts, Lowell, Department of Physics and Applied Physics, University of Massachusetts, Lowell