
Machine-learning-based sampling in lattice QCD
Despite being in the early days, machine-learning-based sampling developped for lattice QCD simulations promises advances not only in physics, but also in machine learning.
Despite being in the early days, machine-learning-based sampling developped for lattice QCD simulations promises advances not only in physics, but also in machine learning.
The superconducting diode effect, in which a nonreciprocal supercurrent is generated, enables new superconducting circuit functionalities. In this Review, we present the recent experimental results in the context of theoretical work and provide an analysis of the intertwining parameters that contribute to this effect.