Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits

Understand

One of the major objectives of the experimental programs at the LHC is the discovery of new physics.

• This requires the identification of rare signals in immense backgrounds.
• Using machine learning algorithms greatly enhances our ability to achieve this objective.
• With the progress of quantum technologies, quantum machine learning could become a powerful tool for data analysis in high energy physics.