Starred repositories
Source content for the Qiskit Textbook
[Neurips 2024] This repository is the official implementation of the Spatio-hemispherical equivariant convolution for dMRI deconvolution paper presented at Neurips 2024..
CFD solve on a current quantum computer
NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
Contains classical and quantum algorithms to solve systems of linear equations such as the HHL algorithm.
Examples that illustrate the possibilities of the Quantum Inspire platform to run more complex algorithms
For IBM Quantum Challenge 2024 (5-14 June 2024)
Tutorial notebooks and example scripts made with Tangelo. Any Tangelo user can suggest content and showcase their work, either by pushing on this repo or linking their work / project :)
We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers into the classical LSTM in order to improve the efficiency and trainability of LSTM for better stock …
Simulate the interaction between two systems of spins (sensors and targets)
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Drug Discovery LLM Software Applications
Materiales completos del Curso de Información Cuántica organizada por QuantumQuipu en la Universidad Nacional Mayor de San Marcos
A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt
Qiskit Nature is an open-source, quantum computing, framework for solving quantum mechanical natural science problems.
My personal quantum paper library
Quantum Chemistry and Computing for the Curious, published by Packt
Repository for the article's code:
Getting started with Qiskit
Microsoft Quantum Development Kit Samples
Pretrain Vision and Large Language Models in Python, Published by Packt
A Python framework for high performance GPU simulation and graphics
For IBM Quantum Challenge Spring 2023
Samples for using optimization solvers through Azure Quantum.