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Showing 1–5 of 5 results
Advanced filters: Author: Anna P. Ovvyan Clear advanced filters

  • A scalable and reconfigurable hybrid photonic platform integrates multiple wavelength-tunable quantum emitters with a low-loss lithium niobate circuit, achieving on-chip spectral control and quantum interference, a key step towards fully integrated quantum photonic networking and computation on-chip.

    • Anna P. Ovvyan
    • Wolfram H. P. Pernice
    News & Views
    Nature Materials
    Volume: 24, P: 1866-1868

  • A lithography-free photonic processor through dynamic control of optical gain distributions is demonstrated, allowing reconfigurable photonic neural networks and more efficient signal processing, and showing great promise in easing data traffic as well as accelerating information processing speeds.

    • Anna P. Ovvyan
    • Wolfram H. P. Pernice
    News & Views
    Nature Photonics
    Volume: 17, P: 644-645

  • The authors develop a method to measure the coupling between a single photon source and any arbitrary photonic structure having constant density of electromagnetic states over the linewidth of the emitter. They demonstrate this method by an experiment on a single molecule coupled to an interrupted nanophotonic waveguide.

    • Sebastien Boissier
    • Ross C. Schofield
    • Alex S. Clark
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-8

  • Here, the authors report the scalable integration of electroluminescent semiconducting carbon nanotubes between nanographene electrical contacts in photonic crystal cavities, showing high coupling efficiency and dynamic electrical control of the enhanced electroluminescent light emission intensity in the telecom range.

    • Anna P. Ovvyan
    • Min-Ken Li
    • Wolfram H. P. Pernice
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-9

  • Physical computing, particularly photonic computing, offers a promising alternative by directly encoding data in physical quantities, enabling efficient probabilistic computing. This Perspective discusses the challenges and opportunities in photonic probabilistic computing and its applications in artificial intelligence.

    • Frank Brückerhoff-Plückelmann
    • Anna P. Ovvyan
    • Wolfram Pernice
    Reviews
    Nature Computational Science
    Volume: 5, P: 377-387