quantum-ai

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Kaiwu-PyTorch-Plugin is a quantum computing programming suite based on PyTorch and the Kaiwu SDK.

Updated and most comprehensive Repository On Quantum Computing Resources. It contains all the material I use for my research on Quantum Computing for Both Theories and Codes - I update it regularly.

👾 resources for DeSci + AI experiments: notes, ml, agents, llms, energy based models...

Building an OpenSource repo for guiding NOOBS --to-> PRO in QuantumAI 🚀

Auto do tasks, play games, referrals, checkin.

Variational Quantum Algorithms for Unsupervised Image Segmentation

Open Source Python library for Quantum Data Encodings in Quantum ML - multi-framework support, analysis tools

收集量子机器学习的基础、算法、学习、项目等资料的收集。Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Deep Q-Learning with Hybrid Quantum Neural Network on Solving Maze Problems

Implementation of Quantum Long Short-term Memory (QLSTM)

This repository contains the code to reproduce the results in the paper "A Variational Algorithm for Quantum Single Layer Perceptron" submitted to The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science

A comprehensive Python laboratory for quantum computing and quantum AI research, featuring 8 modules from quantum machine learning and chaos theory to cryptography and computer vision.

My session about TensorFlow Quantum to build hybrid quantum-classical models at TensorFlow User Group Mysuru 2020

The official implementation of "Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training", which has been accepted for presentation at the IEEE QAI 2025 conference.

An advanced AI application integrating quantum computing capabilities with deep learning frameworks to create powerful hybrid classical-quantum AI models. This technology aims to unlock new applications in fields such as chemistry, materials science, drug discovery, finance, and cryptography.

Master quantum computing from zero to quantum machine learning. 20 interactive Jupyter notebooks, 10 real-world projects, curated resources & research papers. Qiskit, Cirq, PennyLane.

An enterprise-grade platform for evaluating and mitigating hardware noise in Quantum AI circuits using Zero-Noise Extrapolation (ZNE).

QRLIT: Quantum Reinforcement Learning for Database Index Tuning

Natural Language Qu Kit (NLQK)