quantum-information-theory

|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

Python research toolkit for structure-fair quantum circuit complexity: build and audit finite-control models, verify reference certificates, and compute conditional lower bounds from terminal-state information.

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.

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

Python package to generate moment matrices for SDP hierarchy relaxations.

A seesaw method to find MUBs

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

This repository contains the complete implementation of my Science Academies' Summer Research Fellowship Programme (SRFP-2025) project carried out at Bose Institute. The project investigates the theoretical foundations and practical implementation and fault analysis of fundamentals quantum algorithms using Qiskit-sdk.

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Simulator and optimizer for entanglement purification scheduling on half-RGS-based all-photonic quantum repeaters.

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

Functional Analysis and Quantum Information Theory at LNU

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

A Constructive Formalization of Discrete Entanglement-Geometry Duality in Cubical Agda

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.