Ponente
Descripción
High-energy physics (HEP) experiments generate massive datasets that challenge classical computing methods. Quantum computing offers promising avenues to tackle these challenges. This talk presents two applications of quantum algorithms in HEP:
Quantum Jet Clustering: This method leverages the principles of superposition and entanglement to efficiently reconstruct jets of particles emerging from high-energy collisions. (arXiv: 2204.06496 [hep-ph])
Quantum Fourier Iterative Amplitude Estimation (QFIAE): This novel algorithm accelerates the computation of multidimensional integrals, a crucial task in HEP calculations. (arXiv: 2305.01686v2 [quant-ph])
By exploring these applications, we demonstrate the potential of quantum computing to revolutionize HEP data analysis and unlock new discoveries in the subatomic world.
