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The Standard Model (SM) of Particle Physics is a very complete theory to describe the fundamental interactions at the subatomic level with great precision, with the exception of gravity. However, several of the phenomena observed in nature cannot be described by it, such as the matter-antimatter asymmetry or the origin of Dark Matter. To test the SM and look for hints that go beyond its predictions with the required precision, several experimental efforts are taking data - such as LHC - or being designed. These experiments plan to reach unprecedented energies and amount of data - about 1010 tracks per second or more, thus pushing the data challenge to new frontiers when processing these events at the various stages of the experimental pipeline. Within this context, the use of Quantum Computing for this type of fundamental research seems like the natural choice, since particle physics has quantum mechanics at its core. A recent roadmap outlining the status and opportunities of Quantum Computing can be found in [1]. This talk will give an overview of recent developments of QC applications in HEP, with a focus on experimental particle physics, as well as prospects on hardware requirements and new research topics within the fields. [1] QC4HEP Working Group, A. Di Meglio, K. Jansen, I. Tavernelli, J. Zhang et al., Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group, PRX Quantum 5 (2024) 3, 037001, [arXiv:2307.03236].
About the speaker:
Dr. Miriam Lucio Martinez is a Ramon y Cajal Researcher at the Instituto de FIsica Corpuscular - UV in Valencia, Spain. She obtained her PhD from the University of Santiago de Compostela in 2019, with a thesis focused on data analysis at the LHCb experiment and phenomenological interpretation within the context of Beyond the Standard Model theories. She then continued her career as a postdoc at the LHCb group at Nikhef, in Amsterdam, The Netherlands, where she continued to work as an LHCb member in data analysis while expanding her expertise to track reconstruction and innovative technologies. This motivated her to pursue a second postdoc at the University of Maastricht in collaboration with IBM Research Zurich, to work in applications of Quantum Computing and Quantum Machine Learning in High Energy Physics. She is continuing this line at IFIC since January, also as an active member of the QC4HEP WG.