Generating strong mechanical squeezing via combined squeezed vacuum field and two-tone driving
Xiao-Jie Wu, Huan-Huan Cheng, Cheng-Hua Bai, Shao-Xiong Wu
TL;DR
This work tackles robust mechanical squeezing in cavity optomechanics by integrating two-tone driving with squeezed-vacuum field injection. The authors develop a Gaussian-state framework, linearize the Hamiltonian to obtain an effective interaction, and analyze the covariance dynamics to quantify squeezing. They show that the squeezed vacuum transfers noise suppression to the mechanical mode, enabling both position and momentum squeezing with a $2 ext{D} ext{pi}$-periodic dependence on the squeezing phase $ heta$, and they reveal a strong nonlinear enhancement of squeezing with the parameter $r$. The scheme achieves up to $22.26$ dB of position squeezing and exhibits remarkable robustness against cavity dissipation and thermal noise, reducing the stringent parameter-matching requirements of previous approaches and offering flexible, phase-controlled squeezing for quantum information tasks.
Abstract
We propose a novel scheme for generating mechanical squeezed states based on the combined mechanism of a two-tone driving and a squeezed vacuum field. This innovative approach achieves a remarkable improvement in mechanical squeezing performance across the entire range of red/blue detuning ratios. Our study reveals that the squeezed vacuum field not only induces position squeezing of the mechanical oscillator but also facilitates momentum squeezing through phase matching. Moreover, the total squeezing degree exhibits nonlinear enhancement with the increasing of squeezing parameter $r$. The mechanical squeezed state exhibits a $2π$-periodic dependence in relation to the squeezing phase $θ$, offering experimental implementation with a high degree of operational flexibility. Notably, the scheme exhibits strong robustness against cavity dissipation and environmental thermal noise, substantially relaxing the strict parameter-matching requirements inherent in conventional approaches.
