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.

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

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.

Auto do tasks, play games, referrals, checkin.

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

Variational Quantum Algorithms for Unsupervised Image Segmentation

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

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

Implementation of Quantum Long Short-term Memory (QLSTM)

Aditi Khare - AI Research Junction - Research Simplified: GenAI, Quantum AI & Computer Vision

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

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.

QRLIT: Quantum Reinforcement Learning for Database Index Tuning

Natural Language Qu Kit (NLQK)

Quantum-ML is a hybrid quantum-classical machine learning project leveraging quantum computing and AI to deliver advanced predictions and solutions through a fast API interface.

20 next-gen prompt templates for autonomous AI agents, quantum computing & adversarial robustness

🚀 QIP-X Framework – Quantum-Integrated AI & Cryptography A cutting-edge framework integrating quantum-ascendant cryptography, timeline optimization, and hyper-chaotic neural networks for secure, adaptive, and multiversal intelligence systems.

Hybrid Quantum–Classical model for brain tumor classification using Quantum FiLM modulation and ResNet-18. Supports multi-class MRI tumor detection with quantum circuit integration.

A testing ground for training AI models

DEMO ~

"Research Engineer focusing on Quantum AI & LLMs | GSoC 2026 Candidate for ML4Sci"

This repository features a Quantum Long Short-Term Memory (QLSTM) model for time-series forecasting using quantum circuits. It provides a custom QLSTMCell and supports real-time loss tracking, making it ideal for research and experimentation. 🛠️🌌

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Hybrid quantum-classical machine learning framework that runs on real quantum computers - bridge between quantum computing and AI.

Pengembangan AI Blackman_Python-native

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Mobile-first autonomous agent platform: EchoNode lattice, Σ-Matrix ethical governance, 8-qubit classical circuit simulation, InfiniGen self-evolution

🧠 Detect brain tumors using a hybrid Quantum + Classical model with MRI images, enhancing accuracy and efficiency in diagnosis through advanced AI.