Abstract
We propose a compact, fiber-integrated architecture for photon-pair generation by parametric downconversion with unprecedented flexibility in the properties of the photons produced. Our approach is based on a thin-film lithium niobate nanowaveguide, evanescently coupled to a tapered silica microfiber. We demonstrate how controllable mode hybridization between the fiber and waveguide yields control over the joint spectrum of the photon pairs. We also investigate how independent engineering of the linear and nonlinear properties of the structure can be achieved through the addition of a tapered, proton-exchanged layer to the waveguide. This allows further refinement of the joint spectrum through custom profiling of the effective nonlinearity, drastically improving the purity of the heralded photons. We give details of a source design capable of generating heralded single photons in the telecom wavelength range with purity of at least 0.95, and we provide a feasible fabrication methodology.
Original language | English |
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Article number | 063844 |
Journal | Physical Review A: Atomic, Molecular, and Optical Physics |
Volume | 94 |
Issue number | 6 |
DOIs | |
Publication status | Published - 19 Dec 2016 |
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
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Dive into the research topics of 'Hybrid microfiber-lithium-niobate nanowaveguide structures as high-purity heralded single-photon sources'. Together they form a unique fingerprint.Profiles
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Andriy Gorbach
- Department of Physics - Senior Lecturer
- Centre for Photonics and Photonic Materials
- Condensed Matter Physics CDT
- Optical Fibres
Person: Research & Teaching, Core staff
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Peter Mosley
- Department of Physics - Senior Lecturer
- Centre for Photonics and Photonic Materials
- Centre for Nanoscience and Nanotechnology
- Optical Fibres
Person: Research & Teaching, Core staff
Datasets
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Dataset for 'Hybrid Microfibre-Lithium Niobate Nanowaveguide Structures as High Purity Heralded Single Photon Sources'
Main, P. (Creator), University of Bath, 30 Nov 2016
DOI: 10.15125/BATH-00320
Dataset