An integrated diamond nanophotonics platform for quantum-optical networks

By Alp Sipahigil, Ruffin Evans, D. Sukachev, M. Burek, J. Borregaard, M. Bhaskar, Christian Nguyen, J. Pacheco, H. Atikian, Charles Meuwly and 6 more. Science, 2016

827 citations recorded by the source corpus.

Integrated quantum nanophotonics Technologies that exploit the rules of quantum mechanics offer a potential advantage over classical devices in terms of sensitivity. Sipahigil et al. combined the quantum optical features of silicon-vacancy color centers with diamond-based photonic cavities to form a platform for integrated quantum nanophotonics (see the Perspective by Hanson). They could thus generate single photons from the color centers, optically switch light in the cavity by addressing the state of the color center, and quantum-mechanically entangle two color centers positioned in the cavity. The work presents a viable route to develop an integrated platform for quantum networks. Science, this issue p. 847; see also p. 835 An integrated quantum optical platform is demonstrated using silicon vacancy color centers and diamond photonics. Efficient interfaces between photons and quantum emitters form the basis for quantum networks and enable optical nonlinearities at the single-photon level. We demonstrate an integrated platform for scalable quantum nanophotonics based on silicon-vacancy (SiV) color centers coupled to diamond nanodevices. By placing SiV centers inside diamond photonic crystal cavities, we realize a quantum-optical switch controlled by a single color center. We control the switch using SiV metastable states and observe optical switching at the single-photon level. Raman transitions are used to realize a single-photon source with a tunable frequency and bandwidth in a diamond waveguide. By measuring intensity correlations of indistinguishable Raman photons emitted into a single waveguide, we observe a quantum interference effect resulting from the superradiant emission of two entangled SiV centers.

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

View Paper: https://www.semanticscholar.org/paper/947f57a1f443765ca7a942e7c9051d84d75a1b3c

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In Artificial Intelligence

  1. Darrick E. Chang
  2. H. Jeff Kimble
  3. Anders Søndberg Sørensen
  4. Mikhail D. Lukin
  5. Klemens Hammerer
  6. Ronald Hanson
  7. A. Imamoğlu
  8. P. Lodahl

In Atomic and Molecular Physics, and Optics

  1. Darrick E. Chang
  2. H. Jeff Kimble
  3. Mikhail D. Lukin
  4. Anders Søndberg Sørensen
  5. Klemens Hammerer
  6. Ronald Hanson
  7. A. Asenjo-Garcia
  8. P. Lodahl

In Electrical and Electronic Engineering

  1. Darrick E. Chang
  2. P. Lodahl
  3. E. Demler
  4. Mikhail D. Lukin
  5. H. Jeff Kimble
  6. Anders Søndberg Sørensen
  7. Sahand Mahmoodian
  8. A. Cavalleri

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