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Showing 1–7 of 7 results
Advanced filters: Author: Patrick Rebentrost Clear advanced filters

  • Characterizing an unknown quantum state typically relies on analysing the outcome of a large set of measurements. Certain quantum-processing tasks are now shown to be realizable using only approximate knowledge of the state, which can be gathered with exponentially fewer resources.

    • Seth Lloyd
    • Masoud Mohseni
    • Patrick Rebentrost
    Research
    Nature Physics
    Volume: 10, P: 631-633

  • A super-Förster energy-transfer regime, where coherent and incoherent energy transport processes enhance the diffusion of excitons, is observed at room temperature by tuning the distance between the chromophores’ binding sites in a virus scaffold.

    • Heechul Park
    • Nimrod Heldman
    • Angela M. Belcher
    Research
    Nature Materials
    Volume: 15, P: 211-216

  • This Review discusses quantum optimization, focusing on the potential of exact, approximate and heuristic methods, core algorithmic building blocks, problem classes and benchmarking metrics. The challenges for quantum optimization are considered, and next steps are suggested for progress towards achieving quantum advantage.

    • Amira Abbas
    • Andris Ambainis
    • Christa Zoufal
    Reviews
    Nature Reviews Physics
    Volume: 6, P: 718-735

  • Quantum machine learning software could enable quantum computers to learn complex patterns in data more efficiently than classical computers are able to.

    • Jacob Biamonte
    • Peter Wittek
    • Seth Lloyd
    Reviews
    Nature
    Volume: 549, P: 195-202