├── metadata ├── QML.xlsx ├── QRL.xlsx ├── QTL.xlsx ├── QCNN.xlsx ├── QText.xlsx ├── QGraph.xlsx ├── QNN-QRNN.xlsx ├── QComputing.xlsx ├── Qdiffusion.xlsx └── QGenerative.xlsx └── README.md /metadata/QML.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QML.xlsx -------------------------------------------------------------------------------- /metadata/QRL.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QRL.xlsx -------------------------------------------------------------------------------- /metadata/QTL.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QTL.xlsx -------------------------------------------------------------------------------- /metadata/QCNN.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QCNN.xlsx -------------------------------------------------------------------------------- /metadata/QText.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QText.xlsx -------------------------------------------------------------------------------- /metadata/QGraph.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QGraph.xlsx -------------------------------------------------------------------------------- /metadata/QNN-QRNN.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QNN-QRNN.xlsx -------------------------------------------------------------------------------- /metadata/QComputing.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QComputing.xlsx -------------------------------------------------------------------------------- /metadata/Qdiffusion.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/Qdiffusion.xlsx -------------------------------------------------------------------------------- /metadata/QGenerative.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Q-brain/QAI-Papers/HEAD/metadata/QGenerative.xlsx -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 📚 Quantum AI Papers 2 | 3 | **Quantum AI Papers** is a curated and categorized collection of research papers in the field of Quantum Artificial Intelligence. This repository is designed as a comprehensive reference hub for students, researchers, and practitioners working at the intersection of quantum computing and machine learning, with a focus on the most recent advancements in the field. 4 | 5 | --- 6 | 7 | ## 🧠 Categories 8 | 9 | This project includes papers across **10 key categories** in Quantum AI: 10 | 11 | - **Quantum Computing Fundamentals (QComputing)** 12 | - **Quantum Machine Learning (QML)** 13 | - **Quantum Neural Networks and Quantum Recurrent Neural Networks (QNN-QRNN)** 14 | - **Quantum Convolutional Neural Networks (QCNN)** 15 | - **Quantum Reinforcement Learning (QRL)** 16 | - **Quantum Generative Models (QGenerative)** 17 | - **Quantum Diffusion Models (QDiffusion)** 18 | - **Quantum Graph Learning (QGraph)** 19 | - **Quantum Natural Language Processing (QText)** 20 | - **Quantum Transfer Learning (QTL)** 21 | 22 | --- 23 | 24 | ## 🗂️ Repository Structure 25 | 26 | Each paper entry includes the following metadata: 27 | 28 | - **Title** 29 | - **Publication Year** 30 | - **Publisher / Conference** 31 | - **Author(s)** 32 | - **Access Link** 33 | - **Category** 34 | 35 | > 🕓 **Note:** All papers included in this repository are published between **2022 and 2024**, reflecting the latest developments and trends in Quantum AI research. 36 | 37 | --- 38 | 39 | ## 🎯 Purpose 40 | 41 | The purpose of this repository is to centralize high-quality, up-to-date scientific resources in Quantum AI into a single, well-organized, and continuously evolving reference. It serves as a reliable foundation for literature reviews, research planning, project design, and comparative studies. 42 | 43 | --- 44 | 45 | ## 📌 Additional Notes 46 | 47 | - Papers are selected based on criteria such as relevance, novelty, and scientific contribution. 48 | - The repository is open to contributions and suggestions from the research community. 49 | 50 | --- 51 | --------------------------------------------------------------------------------