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📚 Quantum AI Papers

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.


🧠 Categories

This project includes papers across 10 key categories in Quantum AI:

  • Quantum Computing Fundamentals (QComputing)
  • Quantum Machine Learning (QML)
  • Quantum Neural Networks and Quantum Recurrent Neural Networks (QNN-QRNN)
  • Quantum Convolutional Neural Networks (QCNN)
  • Quantum Reinforcement Learning (QRL)
  • Quantum Generative Models (QGenerative)
  • Quantum Diffusion Models (QDiffusion)
  • Quantum Graph Learning (QGraph)
  • Quantum Natural Language Processing (QText)
  • Quantum Transfer Learning (QTL)

🗂️ Repository Structure

Each paper entry includes the following metadata:

  • Title
  • Publication Year
  • Publisher / Conference
  • Author(s)
  • Access Link
  • Category

🕓 Note: All papers included in this repository are published between 2022 and 2024, reflecting the latest developments and trends in Quantum AI research.


🎯 Purpose

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.


📌 Additional Notes

  • Papers are selected based on criteria such as relevance, novelty, and scientific contribution.
  • The repository is open to contributions and suggestions from the research community.


Authors and contributors

  • Ali Akbar Kiaei — repository engineering, automation, metadata tooling, CI, and release management
  • Mahnaz Bush — systematic literature review, paper screening, scientific taxonomy, curation, and documentation
  • Raha Aghaei — bibliographic validation, metadata quality assurance, duplicate detection, link verification, and reproducibility

QAI-brain Research Collection

This repository is part of the QAI-brain open research and software collection. Browse the central Quantum AI paper index for related topics and repositories.

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