|toqito> (Theory of Quantum Information Toolkit) is a Python library for research in quantum information theory.

PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.

Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.

Polynomial optimization problem solver. Uses relaxation to convert the problem into Semidefinite programming. Can be also used just as Semidefinite programming solver.

MICO: Mutual Information and Conic Optimization for feature selection

Irene is a python package that aims to be a toolkit for global optimization problems that can be realized algebraically. It generalizes Lasserre's Relaxation method to handle theoretically any optimization problem with bounded feasibility set. The method is based on solutions of generalized truncated moment problems over commutative real algebras.

Representability is a library to work with linearly constrained mathematical programs over tensors.

Standard errors for moment matching estimators given limited knowledge about the moment variance-covariance matrix

Solving quantum comb min-entropy semi-definite programs for measurement-based quantum computing applications

Neural Network Based Optimization of Transmit Beamforming and RIS Coefficients Using Channel Covariances in MISO Downlink

An offical implementation of "Online learning of data-driven controllers for unknown switched linear systems" (Automatica 2022)

Computational appendix of npj Quantum Inf. 10, 117 (2024) [arXiv:2403.02376]

Tools to compute the minimum semidefinite rank of a simple undirected graph