Speaker
Francisco Matorras Cuevas
(Universidad de Cantabria)
Description
A simple clustering algorithm based on the euclidean distance among tracks is proposed to find and reconstruct the vertices from where the tracks are emerging. This technique uses the Variational Quantum Eigensolver to find the best combinatorial track to vertex association. The study uses the IBM Quantum Computing simulation framework qiskit to simulate the VQE algorithm. Two vertices have been simulated in order to have the possibility to contrast our results with the actual vertices. Reconstruction efficiencies with respect to the simulation truth are provided as a function of the number of quantum measurements involved in the procedure.
Primary author
Francisco Matorras Cuevas
(Universidad de Cantabria)
Co-author
Dr
Pablo Martínez Ruiz del Árbol
(Instituto de Física de Cantabria)
