Inflation: a Python library for classical and quantum causal compatibility
Abstract
We introduce Inflation, a Python library for assessing whether an observed probability distribution is compatible with a causal explanation. This is a central problem in both theoretical and applied sciences, which has recently witnessed significant advances from the area of quantum nonlocality, namely, in the development of inflation techniques. Inflation is an extensible toolkit that is capable of solving pure causal compatibility problems and optimization over (relaxations of) sets of compatible correlations in both the classical and quantum paradigms. The library is designed to be modular and with the ability of being ready-to-use, while keeping an easy access to low-level objects for custom modifications.
Keywords
Cite
@article{arxiv.2211.04483,
title = {Inflation: a Python library for classical and quantum causal compatibility},
author = {Emanuel-Cristian Boghiu and Elie Wolfe and Alejandro Pozas-Kerstjens},
journal= {arXiv preprint arXiv:2211.04483},
year = {2023}
}
Comments
19 pages, 2 figures. The Inflation GitHub repository is in https://www.github.com/ecboghiu/inflation and the Inflation documentation is in https://ecboghiu.github.io/inflation V2: Accepted version