Modifications pour le document Xabier Cid Vidal and Miguel Fernández Gómez

Résumé

• Propriétés de la Page (2 modifications, 0 ajouts, 0 suppressions)

Détails

Propriétés de la Page

Titre

...	...	@@ -1,1 +1,1 @@
1		-Xabier Cid Vidal and Miguel Fernández Gómez
	1	+Wenyang Qian

Contenu

...	...	@@ -1,8 +1,5 @@
1		-=== Machine Learning techniques to look for rare physical signals ===
2		-==== Supervisor: Miguel Fernández Gómez ====
3		-==== Summer Fellow: Alejandro Rodríguez González
	1	+=== Quantum simulation of real-time dynamics in high-energy physics ===
	2	+==== Supervisor: Wenyang Qian
4	4	====
5	5
6		-The Standard Model of Particle Physics is the most precise description of the subatomic world that exists. Despite that, we continue to subject it to strenuous experimental tests, which include the searches for physical processes that are very unlikely to occur. An observation with a higher probability than predicted would be a clear sign of new physics.
7		-
8		-Machine Learning provides us an excellent toolkit to analyze these very rare processes. In this project, we will take data collected by the LHCb experiment, one of the four main detectors at the Large Hadron Collider at CERN, and use Machine Learning techniques to look for rare physical signals.
	5	+We will work on quantum simulation of real-time dynamics for high-energy physics problems using the tensor network and digital quantum computing approaches. We start with the Ising model to get familiarity with quantum simulation and then move on to more advanced real-time simulation of quantum field theory including lattice gauge theory relevant to topics in high-energy physics. Familiarity with quantum mechanics and programming are required. Background in quantum information science would be a plus but not necessary.