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Showing 1–10 of 10 results
Advanced filters: Author: Jamison Sloan Clear advanced filters

  • Very early observations of a type Ia supernova—from within one hour of explosion—show a red colour that develops and rapidly disappears. These data provide information on the initial explosion mechanism: surface nuclear burning on the white dwarf or extreme mixing of the nuclear burning process.

    • Yuan Qi Ni
    • Dae-Sik Moon
    • Sheng Yang
    Research
    Nature Astronomy
    Volume: 6, P: 568-576

  • We combine hydrogel photopatterning with nanoparticle growth to form silver-enhanced features that isotropically shrink 1000 × in volume to realize nanoscale 3D structures with tunable optical properties.

    • Yannick Salamin
    • Gaojie Yang
    • Marin Soljačić
    ResearchOpen Access
    Light: Science & Applications
    Volume: 15, P: 1-8

  • Characterising an optical quantum state confined in a cavity is not an easy task, as standard tomographic techniques works by interfering propagating fields and therefore encounters the problems relative to outcoupling the state. Here, the authors fill this gap for states generated within a nonlinear cavity featuring multiple steady states.

    • Seou Choi
    • Yannick Salamin
    • Marin Soljačić
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-8

  • Intense squeezed light with focusable intensities of 0.1 TW cm−2 is created by propagating a classical, intense and noisy input beam through an optical fibre. The noise 4 dB below the shot-noise level is achieved by selecting a set of wavelengths whose intensity fluctuations are maximally anticorrelated.

    • Shiekh Zia Uddin
    • Nicholas Rivera
    • Marin Soljačić
    Research
    Nature Photonics
    Volume: 19, P: 751-757

  • Despite their relevance for quantum technology, photon-pair sources are difficult to control. A theoretical proposal shows how photon pairs can be created from vacuum fluctuations in time-dependent systems, potentially enabling heralded single-photon frequency combs.

    • Jamison Sloan
    • Nicholas Rivera
    • Marin Soljačić
    Research
    Nature Physics
    Volume: 18, P: 67-74

  • Probabilistic machine learning is an emerging computing paradigm which utilizes controllable random sources to encode uncertainty and enable statistical modelling. Here, authors harness quantum vacuum noise as a controllable random source to perform probabilistic inference and image generation.

    • Seou Choi
    • Yannick Salamin
    • Marin Soljačić
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-8

  • Optical computing often employs tailor-made hardware to implement specific algorithms, trading generality for improved performance in key aspects like speed and power efficiency. We propose an experimentally viable photonic approach to solve arbitrary probabilistic computing problems, used e.g. for solving difficult combinatorial optimization problems.

    • Michael Horodynski
    • Charles Roques-Carmes
    • Marin Soljačić
    ResearchOpen Access
    Communications Physics
    Volume: 8, P: 1-6