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Showing 1–4 of 4 results
Advanced filters: Author: Tameem Albash Clear advanced filters

  • Quantum annealing is a quantum computational approach exploiting ground-state dynamics of a system to find optimal solutions. Pudenz et al.present an error correction scheme for quantum annealing and show that it provides improved performance on a quantum annealer with up to 344 superconducting flux qubits.

    • Kristen L. Pudenz
    • Tameem Albash
    • Daniel A. Lidar
    Research
    Nature Communications
    Volume: 5, P: 1-10

  • Quantum annealing is the quantum computational equivalent of the classical approach to solving optimization problems known as simulated annealing. Boixo et al.report experimental evidence for the realization of quantum annealing processes that are unexpectedly robust against noise and imperfections.

    • Sergio Boixo
    • Tameem Albash
    • Daniel A. Lidar
    Research
    Nature Communications
    Volume: 4, P: 1-8

  • The alternating sector chain Ising problem features an exponentially small energy gap in the sector size, so one would expect an exponential decrease in success probability on a quantum annealing device. Here, instead, the authors show a nonmonotonic behavior, explaining it in terms of thermally accessible states.

    • Anurag Mishra
    • Tameem Albash
    • Daniel A. Lidar
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-8