Evgeni Burovski

TL;DR: SciPy as discussed by the authors is an open source scientific computing library for the Python programming language, which includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics.

TL;DR: SciPy as discussed by the authors is an open-source scientific computing library for the Python programming language, which has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year.

TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

TL;DR: A systematic-error-free finite-temperature simulation of the unitarity regime of the BCS-BEC crossover can be realized by diluting a system of two-component lattice fermions with an on-site attractive interaction by diagrammatic determinant Monte Carlo method.

TL;DR: A quantitative simulation of the repulsive Fermi-Hubbard model using an ultracold gas trapped in an optical lattice and the applicability of both high-temperature series and dynamical mean-field theory is demonstrated.