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Showing 1–3 of 3 results
Advanced filters: Author: Albert Aloy Clear advanced filters
  • Reducing the assumptions required for certification of genuinely quantum behaviour is important both for quantum foundations and technologies. Here, the authors propose a theory-independent framework for quantum process tomography, and test it on a superconducting qubit, witnessing decoherence, loss of contextuality and non-Markovian evolution.

    • Albert Aloy
    • Matteo Fadel
    • Markus P. Müller
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-15
  • Availability of computing power can limit computational analysis of large genetic and genomic datasets. Here, Canela-Xandri, et al. describe a software called DISSECT that is capable of analyzing large-scale genetic data by distributing the work across thousands of networked computers.

    • Oriol Canela-Xandri
    • Andy Law
    • Albert Tenesa
    ResearchOpen Access
    Nature Communications
    Volume: 6, P: 1-6
  • The vast scale of emerging on-demand chemical collections presents a challenge for efficiently identifying promising drug candidates. Here, the authors develop a bottom-up computational strategy to first explore fragment space and then exploit the most promising scaffolds, successfully identifying diverse and potent BRD4 binders.

    • Álvaro Serrano-Morrás
    • Andrea Bertran-Mostazo
    • Xavier Barril
    ResearchOpen Access
    Communications Chemistry
    Volume: 8, P: 1-11