Efficient and low-noise single-photon-level frequency conversion interfaces using silicon nanophotonics

By Qing Li, M. Davanco, Kartik Srinivasan. Nature Photonics, 2015

259 citations recorded by the source corpus.

Optical frequency conversion has applications ranging from tunable light sources to telecommunications-band interfaces for quantum information science. Here, we demonstrate efficient, low-noise frequency conversion on a nanophotonic chip through four-wave-mixing Bragg scattering in compact (footprint <0.5 × 10–4 cm2) Si3N4 microring resonators. We investigate three frequency conversion configurations: spectral translation over a few nanometres within the 980 nm band; upconversion from 1,550 nm to 980 nm; and downconversion from 980 nm to 1,550 nm. With conversion efficiencies ranging from 25% for the first process to >60% for the last two processes, a signal conversion bandwidth of >1 GHz, a required continuous-wave pump power of <60 mW and background noise levels between a few femtowatts and a few picowatts, these devices are suitable for quantum frequency conversion of single-photon states from InAs/GaAs quantum dots. Simulations based on coupled mode equations and the Lugiato–Lefever equation are used to model device performance, and show quantitative agreement with measurements. Ultralow-noise frequency conversion within the 980-nm band and between the 980-nm and 1,550-nm bands occurs through Bragg scattering in Si3N4 microring resonators. The maximum conversion efficiencies are 25% and 60%, respectively.

Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/02cf40dee040000a8f87c9ab7de0c461dee2f458

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In Atomic and Molecular Physics, and Optics

  1. Kartik Srinivasan
  2. A. Safavi-Naeini
  3. Katarina Cicak
  4. R. Camacho
  5. A. Zheltikov
  6. Raymond W. Simmonds
  7. Volker J. Sorger
  8. Andrew M. Weiner

In Electrical and Electronic Engineering

  1. John E. Bowers
  2. A. Safavi-Naeini
  3. Katarina Cicak
  4. Raymond W. Simmonds
  5. Mirko Lobino
  6. Volker J. Sorger
  7. Andrew M. Weiner
  8. Hong X. Tang

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