تقرير
A Digital Quantum Algorithm for Jet Clustering in High-Energy Physics
| العنوان: | A Digital Quantum Algorithm for Jet Clustering in High-Energy Physics |
|---|---|
| المؤلفون: | Pires, Diogo, Bargassa, Pedrame, Seixas, João, Omar, Yasser |
| سنة النشر: | 2021 |
| المجموعة: | High Energy Physics - Experiment Physics (Other) |
| مصطلحات موضوعية: | Physics - Data Analysis, Statistics and Probability, High Energy Physics - Experiment |
| الوصف: | Experimental High-Energy Physics (HEP), especially the Large Hadron Collider (LHC) programme at the European Organization for Nuclear Research (CERN), is one of the most computationally intensive activities in the world. This demand is set to increase significantly with the upcoming High-Luminosity LHC (HL-LHC), and even more in future machines, such as the Future Circular Collider (FCC). As a consequence, event reconstruction, and in particular jet clustering, is bound to become an even more daunting problem, thus challenging present day computing resources. In this work, we present the first digital quantum algorithm to tackle jet clustering, opening the way for digital quantum processors to address this challenging problem. Furthermore, we show that, at present and future collider energies, our algorithm has comparable, yet generally lower complexity relative to the classical state-of-the-art $k_t$ clustering algorithm. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2101.05618 |
| رقم الأكسشن: | edsarx.2101.05618 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |