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Near-Degenerate Quadrature-Squeezed Vacuum Generation on a Silicon-Nitride Chip.
Zhao, Yun; Okawachi, Yoshitomo; Jang, Jae K; Ji, Xingchen; Lipson, Michal; Gaeta, Alexander L.
Affiliation
  • Zhao Y; Department of Electrical Engineering, Columbia University, New York, New York 10027, USA.
  • Okawachi Y; Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA.
  • Jang JK; Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA.
  • Ji X; Department of Electrical Engineering, Columbia University, New York, New York 10027, USA.
  • Lipson M; Department of Electrical Engineering, Columbia University, New York, New York 10027, USA.
  • Gaeta AL; Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA.
Phys Rev Lett ; 124(19): 193601, 2020 May 15.
Article in En | MEDLINE | ID: mdl-32469562
ABSTRACT
Squeezed states are a primary resource for continuous-variable (CV) quantum information processing. To implement CV protocols in a scalable and robust way, it is desirable to generate and manipulate squeezed states using an integrated photonics platform. In this Letter, we demonstrate the generation of quadrature-phase squeezed states in the radio-frequency carrier sideband using a small-footprint silicon-nitride microresonator with a dual-pumped four-wave-mixing process. We record a squeezed noise level of 1.34 dB (±0.16 dB) below the photocurrent shot noise, which corresponds to 3.09 dB (±0.49 dB) of quadrature squeezing on chip. We also show that it is critical to account for the nonlinear behavior of the pump fields to properly predict the squeezing that can be generated in this system. This technology represents a significant step toward creating and manipulating large-scale CV cluster states that can be used for quantum information applications, including universal quantum computing.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Phys Rev Lett Year: 2020 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Phys Rev Lett Year: 2020 Document type: Article Affiliation country: Estados Unidos
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