Unfolding measurement distributions via quantum annealing

Abstract High-energy physics is replete with hard computational problems and it is one of the areas where quantum computing could be used to speed up calculations. We present an implementation of likelihood-based regularized unfolding on a quantum computer. The inverse problem is recast in terms of...

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Bibliographic Details
Main Authors: Kyle Cormier, Riccardo Di Sipio, Peter Wittek
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Journal of High Energy Physics
Subjects:
Online Access:http://link.springer.com/article/10.1007/JHEP11(2019)128