Abstract

Cavity optomechanical systems are one of the leading experimental platforms for controlling mechanical motion in the quantum regime. We exemplify that the control over cavity optomechanical systems greatly increases by coupling the cavity also to a two-level system, thereby creating a hybrid optomechanical system. If the two-level system can be driven largely independently of the cavity, we show that the nonlinearity thus introduced enables us to steer the extended system to non-classical target states of the mechanical oscillator with Wigner functions exhibiting significant negative regions. We illustrate how to use optimal control techniques beyond the linear regime to drive the hybrid system from the near ground state into a Fock target state of the mechanical oscillator. We base our numerical optimization on realistic experimental parameters for exemplifying how optimal control enables the preparation of decidedly non-classical target states, where naive control schemes fail. Our results thus pave the way for applying the toolbox of optimal control in hybrid optomechanical systems for generating non-classical mechanical states.

Highlights

  • In view of quantum technologies, optimal control techniques provide an increasingly useful toolbox to take quantum hardware to the limits of reaching target states with high fidelity, precision, sensitivity and robustness—one prominent example being feedback stabilization of predefined photon-number states in a box [2, 3]

  • If the two-level system can be driven largely independently of the cavity, we show that the nonlinearity introduced enables us to steer the extended system to non-classical target states of the mechanical oscillator with Wigner functions exhibiting significant negative regions

  • Our paper is structured as follows: in section 2 we present the Hamiltonian of the hybrid optomechanical system and derive a drift and control part, in section 3 we discuss the controllability of our system from a general perspective, in section 4 we present the numerical algorithms our optimal control optimization is based on, in section 5 we use optimal control based on realistic experimental parameters to generate a single-phonon Fock state and in section 6, we discuss the results and give an outlook on future work

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Summary

13 May 2019

Ville Bergholm , Witlef Wieczorek2,4 , Thomas Schulte-Herbrüggen and Michael Keyl.

Introduction
Theoretical models: drift and control Hamiltonian
Controllability
Numerical algorithms
Results by optimal control
Conclusions and outlook
Full Text
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