3D Imaging via Polarized Jet Fragmentation Functions and Quantum Simulation of the QCD Phase Diagram
Fanyi Zhao

TL;DR
This paper introduces polarized jet fragmentation functions to probe hadron spin structure and explores quantum computing applications for simulating the QCD phase diagram, advancing understanding of strong interactions.
Contribution
It develops a new theoretical framework for using jet substructure in QCD and demonstrates how quantum computing can simulate the QCD phase diagram.
Findings
Polarized jet fragmentation functions enable detailed nucleon structure analysis.
Quantum simulations can improve understanding of QCD phase transitions.
Abstract
Understanding the interactions between elementary particles and mapping out the internal structure of the hadrons are of fundamental importance in high energy nuclear and particle physics. This thesis concentrates on the strong interaction, described by Quantum Chromodynamics (QCD). We introduce a novel concept called "polarized jet fragmentation functions" and develop the associated theory framework known as QCD factorization which allows us to utilize jet substructure to probe spin dynamics of hadrons, especially nucleon's three-dimensional imaging. Furthermore, non-perturbative QCD studies, particularly of the QCD phase diagram, are important for understanding the properties of hadrons. The development of quantum computing and simulators can potentially improve the accuracy of finite-temperature simulations and allow researchers to explore extreme temperatures and densities in more…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Particle physics theoretical and experimental studies · Computational Physics and Python Applications
