The Uncovering

From Solving a Higgs optimization problem with quantum annealing for machine learning [https://www.nature.com/nature/journal/v550/n7676/full/nature24047.html ]

From Solving a Higgs optimization problem with quantum annealing for machine learning [https://www.nature.com/nature/journal/v550/n7676/full/nature24047.html ]

Via Chris Lee – writing at Ars Technica, comes news of the ‘uncovering’ of the Higgs Boson particle via the utilization (in the machine-learning realm) of a D-Wave Quantum Computational Device.

‘The discovery of Higgs-boson decays in a background of standard-model processes was assisted by machine learning methods 1, 2. The classifiers used to separate signals such as these from background are trained using highly unerring but not completely perfect simulations of the physical processes involved, often resulting in incorrect labelling of background processes or signals (label noise) and systematic errors.’ – via Nature 550, 375–379 (19 October 2017) doi:10.1038/nature24047

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*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: https://arstechnica.com/science/2017/10/quantum-algorithm-finds-higgs-needle-in-photon-haystack/