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Showing 1–16 of 16 results
Advanced filters: Author: Brian Burkett Clear advanced filters

  • Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.

    • Alec Eickbusch
    • Matt McEwen
    • Alexis Morvan
    ResearchOpen Access
    Nature Physics
    Volume: 21, P: 1994-2001

  • Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

    • Dmitry A. Abanin
    • Rajeev Acharya
    • Nicholas Zobrist
    ResearchOpen Access
    Nature
    Volume: 646, P: 825-830

    • Andrew R. Cossins
    • Brian Barnes
    News & Views
    Nature
    Volume: 382, P: 582-583

  • Despite the significance of mosquitos for human health, little research has focused on their phylogeny. Here, the authors present a resolved phylogenetic history of mosquitoes based on phylogenomics showing that these major disease vectors radiated coincidentally with geologic events and the diversification of their hosts.

    • John Soghigian
    • Charles Sither
    • Brian M. Wiegmann
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • Physical realizations of qubits are often vulnerable to leakage errors, where the system ends up outside the basis used to store quantum information. A leakage removal protocol can suppress the impact of leakage on quantum error-correcting codes.

    • Kevin C. Miao
    • Matt McEwen
    • Yu Chen
    ResearchOpen Access
    Nature Physics
    Volume: 19, P: 1780-1786

  • Neuromedin receptor NMUR1 is specifically expressed by a subpopulation of type 2 innate lymphoid cells and promotes the inflammatory response of these cells in response to allergens, indicating the importance of neuro-immune crosstalk in allergic responses.

    • Antonia Wallrapp
    • Samantha J. Riesenfeld
    • Vijay K. Kuchroo
    Research
    Nature
    Volume: 549, P: 351-356

  • The authors developed a deep learning-based model to estimate the brain age gap based on metabolic and structural imaging data in cognitively normal individuals and in patients with dementia. An older brain age was associated with Alzheimer’s disease biomarkers and was predictive of future cognitive decline.

    • Jeyeon Lee
    • Brian J. Burkett
    • David T. Jones
    Research
    Nature Aging
    Volume: 2, P: 412-424

  • Two below-threshold surface code memories on superconducting processors markedly reduce logical error rates, achieving high efficiency and real-time decoding, indicating potential for practical large-scale fault-tolerant quantum algorithms.

    • Rajeev Acharya
    • Dmitry A. Abanin
    • Nicholas Zobrist
    ResearchOpen Access
    Nature
    Volume: 638, P: 920-926

  • A study establishes a scalable approach to engineer and characterize a many-body-localized discrete time crystal phase on a superconducting quantum processor.

    • Xiao Mi
    • Matteo Ippoliti
    • Pedram Roushan
    ResearchOpen Access
    Nature
    Volume: 601, P: 531-536

  • It is hoped that quantum computers may be faster than classical ones at solving optimization problems. Here the authors implement a quantum optimization algorithm over 23 qubits but find more limited performance when an optimization problem structure does not match the underlying hardware.

    • Matthew P. Harrigan
    • Kevin J. Sung
    • Ryan Babbush
    Research
    Nature Physics
    Volume: 17, P: 332-336

  • Quantum supremacy is demonstrated using a programmable superconducting processor known as Sycamore, taking approximately 200 seconds to sample one instance of a quantum circuit a million times, which would take a state-of-the-art supercomputer around ten thousand years to compute.

    • Frank Arute
    • Kunal Arya
    • John M. Martinis
    Research
    Nature
    Volume: 574, P: 505-510

  • An analysis of the finished sequence of human chromosome 12 representing 4.5% of the human genome determines that chromosome 12 hosts a number of genes mutated in specific cancers, as well as movement disorders and potentially Alzheimer's disease.

    • Steven E. Scherer
    • Donna M. Muzny
    • Richard A. Gibbs
    Research
    Nature
    Volume: 440, P: 346-351