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

MQT QECC - Tools for Quantum Error Correcting Codes

A Scikit-learn Python Package for the Helstrom Quantum Centroid Classifier

The diamond norm between two completely positive trace-preserving (CPTP) superoperators

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

PhD Thesis "Device-independent certification: quantum resources and quantum key distribution"

In my licenciatura (BA + M.Sc. in Physics equivalent) thesis, with my director J.M. Matera, we worked in both analytical and computational techniques for the study of non-markovian quantum systems using Max-Ent approximation for instantaneous states, the latter with open code and hand-made also.

A demonstration of using variational quantum optimization (VQO) to find a quantum protocol that maximally violates the CHSH inequality.

Welcome to my Quantum Information and Condensed Matter Notes repository! This collection of LaTeX notes encompasses a wide range of topics, including Quantum Information and Quantum Field Theory with applications to Condensed Matter Physics, and other Mathematical Topics

A seesaw method to find MUBs

A python package dedicated to help proving information inequalities in quantum information theory.

Quantum-Sandbox 🔬 A computational research lab bridging Stanford QFT foundations with Quantum Esotericism. Implementing Wave Mechanics, Bell-test non-locality, and Bayesian "Psi" models in Python. Exploring the "Rendering" of reality through the lens of Qiskit and Orch-OR theory. 🌌

16-qubit threshold collapse simulation showing excitation-entropy tradeoffs. Paper, data, and code from PatternRipple Labs.

Quantum Q Bit Night is a dedicated student initiative where we demystify the quantum realm. It's more than a club—it's a collaborative workspace where students from all disciplines come together to learn quantum computing concepts, experiment with quantum circuits, and prepare for the future of information technology.

This project implements a machine learning model capable of reconstructing a quantum density matrix ρ from measurement data (Classical Shadows). The model enforces strict physical constraints (Hermitian, Positive Semi-Definite, Unit Trace) using a Cholesky decomposition approach.

Functional Analysis and Quantum Information Theory at LNU

This repository contains projects related to the Qiskit quantum library.

Complete Pauli error identification in DNA-labeled quantum channels using biochemical structure (100% detection, zero quantum overhead) - ISIT 2026

Source of my bachelor thesis

Repository for quantum computing research making use of the python package QISKIT.