Q

quantum computing

Python library for the reduction of NP-complete problem to the QUBO problem and test of their efficiency through classical an quantum solvers.

A Python-based quantum simulation platform. Runs ProjectQ quantum algorithms in Docker for fast, portable, and consistent testing.

Explore how multi-digit Ising mappings enhance low-precision solver performance with a Python implementation and visual insights.

A deep dive into quantum computing fundamentals, covering quantum data types, algorithms, and architectures. This project explores both custom-built quantum frameworks and existing open-source solutions, alongside implementations using real quantum hardware. We will develop and optimize quantum circuits, gates, and algorithms such as Shor’s and Grover’s, providing hands-on experience in leveraging quantum mechanics for cryptography, optimization, AI, and beyond. By experimenting with quantum-classical hybrid models, we aim to bridge the gap between classical and quantum computing, pushing the limits of computational efficiency.

O projeto descrito tem como objetivo principal desenvolver algoritmos e protocolos de roteamento que garantam a descoberta da melhor rota em diferentes topologias de redes quânticas, fornecendo as maiores oportunidades de comunicação quântica entre um par arbitrário de dispositivos quânticos.

This repository contains QCobalt lectures from "Womanium AI + Quantum 2024" program. This is not the forked version of the original repository as I have changed some code and fixed some bugs.

This repository contains QNickel lectures from "Womanium AI + Quantum 2024" program. This is not the forked version of the original repository as I have changed some code and fixed some bugs.

This repository contains QBronze lectures from "Womanium AI + Quantum 2024" program. This is not the forked version of the original repository as I have changed some code and fixed some bugs.

Tensor Network-based Quantum Machine Learning arXiv:2202.10471 [quant-ph]

A project that introduces a Quantum Invertible Neural Network (QINN). The invertible architecture can be trained as a density estimator to perform data generation. Implemented using Pennylane.

Toy quantum simulator

Towards a Quantum Simulation of Nonlinear Sigma Models with a Topological Term arXiv:2210.03679 [quant-ph]

Quantum Hamiltonian-Based Models arXiv:2211.03803 [quant-ph]

Animation Nodes extension for Blender

Official documentation for quantum_nodes: https://quantum-creative-group.gitlab.io/quantum_nodes_manual/

Simulating the dynamics of the mixed-field Ising model on a digital quantum computer. Exploit error mitigation and pulse-level control of unitary gates.

Hybrid quantum-classical variational Trotter compression (VTC) algorithm applied to simulate dynamics of a Heisenberg Hamiltonian.

Differential equation solving through quantum annealing

A software project for experimenting with quantum gravity in the lab.