machine-learning

PDFs with a quantum computer

We present a first attempt to design a quantum circuit for the determination of the parton content of the proton through the estimation of parton distribution functions (PDFs), in the context of high energy physics (HEP). The growing interest in …

Towards Quantum Machine Learning

Quantum Machine Learning is a field that is expected to surpass the current performance and ubiquity of classical Machine Learning when quantum devices are improved in terms of number of qubits and noise. In this talk we illustrate the basic idea of …

Studying the parton content of the proton with deep learning models