Changes for page Xabier Cid Vidal and Pablo Eduardo Menéndez-Valdés Pérez

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1		-Xabier Cid Vidal and Pablo Eduardo Menéndez-Valdés Pérez
	1	+Wenyang Qian

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1		-=== Classifiers for LLPs searches at LHCb ===
2		-==== Supervisor: Pablo Eduardo Menéndez-Valdés Pérez ====
3		-==== Summer Fellow: Enrique Rodríguez Ramons
	1	+=== Quantum simulation of real-time dynamics in high-energy physics ===
	2	+==== Supervisor: Wenyang Qian
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5		-Several Beyond the Standard Model (BSM) theories predict the existence of Long-Lived Particles (LLPs), which may largely escape detection by current particle physics experiments. However, these particles could occasionally decay into known elementary particles—such as muons—making their detection possible under certain conditions.
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7		-The LHCb detector provides excellent precision in reconstructing both production and decay vertices. Leveraging this capability with Machine Learning (ML) techniques can significantly enhance the sensitivity to LLP signatures. In this project, we aim to develop and evaluate such ML tools by comparing the performance of various algorithms within the XGBoost library.
	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.