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Bosonic Continuous Variable Quantum Computing

Unconditional mechanical squeezing via back-action evading measurements and non-optimal feedback control

arXiv
Authors: Antonio Di Giovanni, Matteo Brunelli, Marco G. Genoni

Year

2020

Paper ID

415

Status

Preprint

Abstract Read

~2 min

Abstract Words

192

Citations

N/A

Abstract

Backaction-evading (BAE) measurements of a mechanical resonator, by continuously monitoring a single quadrature of motion, can achieve precision below the zero-point uncertainty. When this happens, the measurement leaves the resonator in a quantum squeezed state. The squeezed state so generated is however conditional on the measurement outcomes, while for most applications it is desirable to have a deterministic, i.e., unconditional, squeezed state with the desired properties. In this work we apply feedback control to achieve deterministic manipulation of mechanical squeezing in an optomechanical system subject to a continuous BAE measurement. We study in details two strategies, direct (Markovian) and state-based (Bayesian) feedback. We show that both are capable to achieve optimal performances, i.e., a vanishing noise added by the feedback loop. Moreover, even when the feedback is restricted to be a time-varying mechanical force (experimentally friendly scenario) and an imperfect BAE regime is considered, the ensuing non-optimal feedback may still obtain significant amount of squeezing. In particular, we show that Bayesian feedback control is nearly optimal for a wide range of sideband resolution. Our analysis is of direct relevance for ultra-sensitive measurements and quantum state engineering in state-of-the-art optomechanical devices.

Why This Paper Matters

  • This paper contributes to the Bosonic & Continuous-Variable Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2020 reference point for readers tracking recent quantum research.
  • Backaction-evading (BAE) measurements of a mechanical resonator, by continuously monitoring a single quadrature of motion, can achieve precision below the zero-point uncertainty.

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