Quantum algorithms for jet clustering

Experimental High-Energy Physics, especially the Large Hadron Collider programme at CERN, is one of the most computationally intensive activities in the world. This demand is set to increase significantly with the upcoming High-Luminosity LHC, and even more in future machines, such as the Future Circular Collider.

As a consequence, event reconstruction, and in particular jet clustering, is bound to become an even more daunting problem, thus potentially challenging present day computing resources. In this talk, I present the two quantum algorithms to tackle this problems and, in particular, the first digital quantum algorithm to for jet clustering, opening the way for digital quantum processors to address this challenging problem. Furthermore, we show that, at present and future collider energies, our algorithms have at least comparable complexity relative to the classical state-of-the-art $k_t$ clustering algorithm