Decoherence control of a single-photon optomechanical system in phase-sensitive reservoirs
Vaibhav N Prakash, Aranya Bhuti Bhattacherjee

TL;DR
This paper explores how reservoir engineering, specifically using squeezed vacuum and thermal reservoirs, can control decoherence in a strongly coupled single-photon optomechanical system, highlighting the importance of tailored environments for quantum coherence preservation.
Contribution
It introduces the use of the Dressed-State Master Equation to analyze decoherence under engineered reservoirs, providing new insights into controlling quantum decoherence in strong coupling regimes.
Findings
Decoherence can be suppressed by tuning reservoir parameters.
Cavity dephasing becomes significant at high temperatures.
Reservoir engineering enables precise decoherence control.
Abstract
Recent advancements in strong single-photon optomechanical coupling also demand a deeper understanding of environmental interactions in this regime. The inadequacy of the standard Lindblad master equation necessitates the use of the Dressed-State Master Equation (DSME), which accounts for the correct eigenstates. This work investigates the impact of squeezed vacuum and thermal reservoirs on the decoherence of cavity photon Fock states in the strong coupling regime. We demonstrate that decoherence can be effectively controlled by tuning reservoir parameters, with the control mediated through a cavity dephasing term that becomes significant at high temperatures. The findings presented provide critical insights into reservoir engineering for precise control of quantum decoherence, advancing the understanding of strongly coupled optomechanical systems in engineered environments.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMechanical and Optical Resonators · Photonic and Optical Devices · Neural Networks and Reservoir Computing
