Strong spin squeezing induced by weak squeezing of light inside a cavity
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- Wei Qin
- Theoretical Quantum Physics Laboratory , RIKEN Cluster for Pioneering Research , Wako-shi , Saitama 351-0198 , Japan
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- Ye-Hong Chen
- Theoretical Quantum Physics Laboratory , RIKEN Cluster for Pioneering Research , Wako-shi , Saitama 351-0198 , Japan
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- Xin Wang
- Theoretical Quantum Physics Laboratory , RIKEN Cluster for Pioneering Research , Wako-shi , Saitama 351-0198 , Japan
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- Adam Miranowicz
- Theoretical Quantum Physics Laboratory , RIKEN Cluster for Pioneering Research , Wako-shi , Saitama 351-0198 , Japan
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- Franco Nori
- Theoretical Quantum Physics Laboratory , RIKEN Cluster for Pioneering Research , Wako-shi , Saitama 351-0198 , Japan
抄録
<jats:title>Abstract</jats:title> <jats:p>We propose a simple method for generating spin squeezing of atomic ensembles in a Floquet cavity subject to a weak, detuned two-photon driving. We demonstrate that <jats:italic>the weak squeezing of light inside the cavity can, counterintuitively, induce strong spin squeezing</jats:italic>. This is achieved by exploiting the anti-Stokes scattering process of a photon pair interacting with an atom. Specifically, <jats:italic>one photon of the photon pair is scattered into the cavity resonance by absorbing partially the energy of the other photon whose remaining energy excites the atom</jats:italic>. The scattering, combined with a Floquet sideband, provides an alternative mechanism to implement Heisenberg-limited spin squeezing. Our proposal does <jats:italic>not</jats:italic> need multiple classical and cavity-photon drivings applied to atoms in ensembles, and therefore its experimental feasibility is greatly improved compared to other cavity-based schemes. As an example, we demonstrate a possible implementation with a superconducting resonator coupled to a nitrogen-vacancy electronic-spin ensemble.</jats:p>
収録刊行物
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- Nanophotonics
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Nanophotonics 9 (16), 4853-4868, 2020-10-08
Walter de Gruyter GmbH
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キーワード
詳細情報 詳細情報について
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- CRID
- 1360572092856152448
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- ISSN
- 21928614
- 21928606
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- データソース種別
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