Coherent Control of Stabilized Entangled States

ORAL

Abstract

Dissipative state stabilization is an approach for rapid preparation of complex quantum states by introducing engineered dissipation via coupling the system to a lossy bath. Several methods have been demonstrated that use fixed-amplitude parametric driving to induce stabilization [1,2]. The use of parametric interactions, however, affords us the opportunity to even modulate the system parameters in a time-dependent fashion at rates faster than the convergence time of the CW stabilization protocol. This provides a new axis of control over the stabilization process which may allow for further optimization of the overall stabilization performance. Moreover, after stabilization has completed, the time-dependent modulation of the drives can allow for coherent control within the stabilized manifold. In this talk, I will discuss theoretical and experimental prospects of open-loop quantum control in a multipartite system.

[1] High fidelity dissipation engineering using parametric interactions, Phys. Rev. Research 2, 023370 (2020)

[2] Trade off-Free Entanglement Stabilization in a Superconducting Qutrit-Qubit System, arXiv:2107.13579v2 (2021)

Presenters

  • Tristan Brown

    University of Massachusetts Lowell

Authors

  • Tristan Brown

    University of Massachusetts Lowell

  • Emery Doucet

    University of Massachusetts Lowell, University of Massachusetts-Lowell

  • Andrew Keefe

    University of Massachusetts, Lowell

  • Guilhem J Ribeill

    BBN Technologies - Massachusetts, BBN Technology - Massachusetts

  • Katarina Cicak

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

  • Jose Aumentado

    National Institute of Standards and Technology Boulder, National Institute of Standards and Technology, Boulder, Colorado, 80305, USA, National Institute of Standards and Technology

  • Raymond W Simmonds

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

  • Archana Kamal

    University of Massachusetts Lowell, University of Massachusetts-Lowell

  • Leonardo Ranzani

    BBN Technologies - Massachusetts, Raytheon BBN Technologies