  With increasing energy and luminosity available at the Large Hadron collider
(LHC), we get a chance to take a pure bottom-up approach solely based on data.
This will extend the scope of our understanding about Nature without relying on
theoretical prejudices. The required computing resource, however, will increase
exponentially with data size and complexities of events if one uses algorithms
based on a classical computer. In this letter we propose a simple and well
motivated method with a quantum annealer to identify an event-topology, a
diagram to describe the history of particles produced at the LHC. We show that
a computing complexity can be reduced significantly to the order of polynomials
which enables us to decode the "Big" data in a very clear and efficient way.
Our method achieves significant improvements in finding a true event-topology,
more than by a factor of two compared to a conventional method.

High Energy Physics - Phenomenology;High Energy Physics - Experiment;Quantum Physics