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Found 5 papers, 4 papers with code
Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equation
Understanding the real-time evolution of many-electron quantum systems is essential for studying dynamical properties in condensed matter, quantum chemistry, and complex materials, yet it poses a significant theoretical and computational challenge.
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics.
Network control by a constrained external agent as a continuous optimization problem
Social science studies dealing with control in networks typically resort to heuristics or describing the static control distribution.
Communication coordination in network controllability
Edge controllability is shown to relax this communication assumption but aims to control the dynamics of the edge states and not the node states, thus answering a fundamentally different question.
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series
We train deep neural networks that extract the (additive) Granger causal influences from the time evolution in multi-variate time series.
