The hot and dense QCD matter, known as the Quark–Gluon Plasma (QGP), is explored through heavy-ion collision experiments at the LHC and RHIC. Jets and heavy flavors, produced from the initial hard scattering, are used as hard probes to study the properties of the QGP. Recent experimental observations on jet quenching and heavy-flavor suppression have strengthened our understanding, allowing for fine-tuning of theoretical models in hard probes. Additionally, experimental techniques, such as machine learning algorithms, provide important tools for performing intricate data analysis in collision experiments. The second conference, “HOT QCD Matter 2024”, was organized to bring the community together for discussions on key topics in the field. This paper comprises 15 sections, each addressing various aspects of hard probes in relativistic heavy-ion collisions, offering a snapshot of current experimental observations and theoretical advancements. The paper begins with a discussion on memory effects in the quantum evolution of quarkonia in the QGP, followed by an experimental review, new insights on jet quenching at RHIC and LHC, and concludes with a machine learning approach to heavy flavor production at the Large Hadron Collider.
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Das et al. (2025) studied this question.
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