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Marie-Therese Huebsch discusses how cluster-multipole theory can be combined with spin-density-functional theory in VASP to probe magnetism based just on the crystal structure of a material.
Sarah Malik explains how quantum random walks can be used to model the cascades of quarks and gluons resulting from the proton–proton collisions at the Large Hadron Collider.
Gregory White discusses process tensor tomography, a method to characterize non-Markovian dynamics, which can find applications in quantum technologies and the study of open quantum systems.
Hsin-Yuan Huang explains how quantum states can be efficiently characterized using very few measurements thanks to the method known as classical shadow tomography.
Sylvia Biscoveanu explains how likelihood reweighting can help estimate the parameters of complex models at a fraction of the computational cost of traditional methods, empowering the analysis of gravitational-wave data.