Feb 21, 2020

Solving a Higgs optimization problem with quantum annealing for machine learning

Posted by in categories: information science, particle physics, quantum physics, robotics/AI

A machine learning algorithm implemented on a quantum annealer—a D-Wave machine with 1,098 superconducting qubits—is used to identify Higgs-boson decays from background standard-model processes.

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