The International Journal of Quantum Computing & Agentic AI (IJQCAAI) is an international, peer-reviewed, open-access scholarly journal dedicated to publishing innovative, high-quality, and interdisciplinary research in the rapidly evolving fields of Quantum Computing, Artificial Intelligence (AI), Agentic AI, Machine Learning, and Intelligent Computing Systems. The journal aims to bridge the gap between academic research and industrial innovation by providing a global platform for researchers, scientists, academicians, engineers, and technology professionals.

Our Aim

Promote High-Quality Research
To promote high-quality, original, and impactful research in Quantum Computing and Agentic AI.
Encourage Collaboration
To encourage interdisciplinary collaboration between academia, research institutions, and industry.
Trusted Platform
To provide a trusted platform for publishing innovative scientific discoveries and emerging technologies.
Ethical Research
To support the advancement of ethical, transparent, and reproducible research in intelligent computing.
Global Knowledge Sharing
To foster global knowledge sharing through rigorous peer-reviewed, open-access publications.
Real-World Challenges
To accelerate research that addresses real-world challenges using AI-driven and quantum-enabled technologies.

Scope of the Journal

IJQCAAI welcomes original research articles, review papers, case studies, technical notes, and short communications in, but not limited to, the following areas:

Quantum Computing and Quantum Information Science

Quantum Computing Quantum Information Processing Quantum Algorithms Quantum Machine Learning Quantum Communication Quantum Cryptography

Artificial Intelligence and Intelligent Systems

Agentic Artificial Intelligence Autonomous AI Agents Multi-Agent Systems Large Language Models Generative AI Artificial General Intelligence Explainable AI Responsible AI Reinforcement Learning Deep Learning Neural Networks Intelligent Robotics Edge AI Cognitive Computing

Computing and Data Science

High Performance Computing Distributed Computing Cloud Computing Data Science Big Data Analytics Predictive Analytics Cybersecurity Secure Intelligent Systems Blockchain Web3 Digital Twin Technologies

Applications and Emerging Technologies

Smart Cities Smart Healthcare Intelligent Transportation Smart Manufacturing AI in Finance AI in Education AI in Agriculture Intelligent Automation Human-AI Collaboration AI Governance Regulatory Frameworks Future Computing Technologies

Interdisciplinary Research: The journal particularly encourages interdisciplinary research at the intersection of Quantum Computing, Artificial Intelligence, and Autonomous Intelligent Systems.

Journal Focus

Original Research
Innovative Technologies
Industrial Applications
Academic Research
Interdisciplinary Studies
Experimental Research
Theoretical Research
Open Science
Research Reproducibility
Global Collaboration
Ethical Publishing
Scientific Integrity