综上所述,本研究中我们提出了时域准相位匹配理论TQPM,通过周期性翻转时变耦合的符号,在频率失谐腔之间实现了完全的声能量振荡传输和频率转化。进一步地,通过结合STIRAP技术,我们实现了鲁棒的声能量转移,并开发了适用于脉冲能量的声学环路器和单向吸收器。该研究进一步推动了瞬态声波操控研究,丰富了非互易声学器件设计,并为STIRAP技术推向纳机电系统(Nano-electromechanical system, NEMS)和腔光力学系统提供了启发。该工作得到了科技部重点研发计划、国家自然科学基金、中国博士后面上基金以及江苏省卓越博士后项目等资助。
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)
Zhao-Xian Chen, Yu-Gui Peng, Ze-Guo Chen, Yuan Liu, Peng Chen, Xue-Feng Zhu and Yan-Qing Lu, Robust temporal adiabatic passage with perfect frequency conversion between detuned acoustic cavities; Nature Communications 15, 1478 (2024)
https://www.nature.com/articles/s41467-024-45932-6
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