Bobby Samir Acharya(Abdus Salam Int. Cent. Theor. Phys. (IT)), Christine Darve(European Spallation Source), Fernando Ferroni(Sapienza Universita e INFN, Roma I (IT)), Ketevi Adikle Assamagan(Brookhaven National Laboratory (US)), Mounia Laassiri(University of Helsinki)
For statistical analysis: Chapter 4 of second edition of Leo, skipping Example 4, on page 100,
https://project-cms-rpc-endcap.web.cern.ch/rpc/Physics/Books/%5BDr._William_R._Leo__(auth.)%5D_Techniques_for_Nuclear.pdf
For particle physics: read the first few chapters of "Standard Model Phenomenology”:
https://www.taylorfrancis.com/books/mono/10.1201/9780429443015/standard-model-phenomenology-stefano-moretti-shaaban-khalil
For Quantum Computing: basic linear algebra would be enough to start with. Moreover, for those who want to learn more before and after the lectures, I would suggest that they visit a couple of IBM websites:
1. https://learning.quantum.ibm.com/
2. https://www.ibm.com/quantum/qiskit
where they can find excellent resources and tutorials on quantum computing. In particular, it will be useful to get familiar with the QIskit environment, graphic charts and quantum circuits, as I will use them for the tutorial on quantum algorithms implementation.