Abstract: Simulation output clearly depends on the form of the input distributions used to drive the model. Often these input distributions are fitted using finite samples of real-world data. The ...

TeNPy (short for 'Tensor Network Python') is a Python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to get a new balance of ...

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Microsoft has warned that information-stealing attacks are "rapidly expanding" beyond Windows to target Apple macOS environments by leveraging cross-platform languages like Python and abusing trusted ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...