Combining quantum noise reduction resources: a practical approach

• URL: http://arxiv.org/abs/2211.14460v1
• Date: Sat, 26 Nov 2022 02:39:20 GMT
• Title: Combining quantum noise reduction resources: a practical approach
• Authors: Sohitri Ghosh, Matthew A. Feldman, Seongjin Hong, Claire Marvinney, Raphael Pooser, and Jacob M. Taylor
• Abstract summary: We provide the theoretical limits to noise reduction while combining quantum enhanced readout techniques for optomechanical sensors. We demonstrate that backaction evasion through QND techniques dramatically reduces the technical challenges presented when using squeezed light for broadband force detection.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Optomechanical sensors are capable of transducing external perturbations to resolvable optical signals. A particular regime of interest is that of high-bandwidth force detection, where an impulse is delivered to the system over a short period of time. Exceedingly sensitive impulse detection has been proposed to observe very weak signals like those for long range interactions with dark matter requiring much higher sensitivities than current sensors can provide. Quantum resources to go beyond the standard quantum limit of noise in these sensors include squeezing of the light used to transduce the signal, backaction evasion by measuring the optimum quadrature, and quantum nondemolition (QND) measurements which reduce backaction directly. However, it has been extremely difficult to determine a scheme where all these quantum resources contribute to noise reduction thereby exceeding the benefit of using only one quantum resource alone. We provide the theoretical limits to noise reduction while combining quantum enhanced readout techniques such as squeezing and QND measurements for these optomechanical sensors. We demonstrate that backaction evasion through QND techniques dramatically reduces the technical challenges presented when using squeezed light for broadband force detection, paving the way for combining multiple quantum noise reduction techniques for enhanced sensitivity in the context of impulse metrology.

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