37 citations · 69 across the 4 of their papers we have counts for
4 papers
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics
Gert Aarts, Kenji Fukushima, Tetsuo Hatsuda +4
The integration of deep learning techniques and physics-driven designs is reforming the way we address inverse problems, in which accurate physical properties are extracted from co…
Towards constraining QCD phase transitions in neutron star interiors: Bayesian Inference with TOV linear response analysis
Ronghao Li, Sophia Han, Zidu Lin +3
The potential hadron-to-quark phase transition in neutron stars has not been fully understood as the property of cold, dense, and strongly interacting matter cannot be theoreticall…
Quantum thermalization of Quark-Gluon Plasma
Shile Chen, Li Yan, Shuzhe Shi
The thermalization of quark gluon plasma created in relativistic heavy-ion collisions is a crucial theoretical question in understanding the onset of hydrodynamics, and in a broad…
Quantum simulation of entanglement and hadronization in jet production: lessons from the massive Schwinger model
Adrien Florio, David Frenklakh, Kazuki Ikeda +4
The possible link between entanglement and thermalization, and the dynamics of hadronization are addressed by studying the real-time response of the massive Schwinger model coupled…