Aims and Scope

The Journal of Quantum Artificial Intelligence (JQAI) is an international, peer-reviewed scholarly journal that focuses on pioneering research at the intersection of quantum computing and artificial intelligence (AI). The journal serves as a global forum for scientists, researchers, and practitioners to share novel ideas, groundbreaking findings, and transformative innovations that explore how quantum principles can enhance the capabilities of intelligent systems.

In an era where computational paradigms are rapidly evolving, JQAI stands as a bridge between quantum theory and artificial intelligence, providing a dedicated platform for studies that aim to redefine the foundations of intelligent computation. The journal promotes interdisciplinary collaboration, integrating concepts from computer science, quantum physics, mathematics, information theory, and cognitive systems.

Through its publications, JQAI seeks to advance both theoretical frameworks and practical implementations, encouraging research that contributes to the development of next-generation technologies capable of leveraging quantum mechanics to transform learning processes, reasoning structures, and decision-making mechanisms within intelligent environments.

The Journal of Quantum Artificial Intelligence (JQAI) aims to explore and advance the intersection between quantum computing and artificial intelligence. The journal provides an international forum for publishing original research and innovations that leverage quantum principles to enhance learning, reasoning, and intelligent computation. JQAI promotes both theoretical foundations and practical applications that shape the future of intelligent quantum systems.

Topics of interest include (but are not limited to):

• Quantum computing models and algorithms for artificial intelligence and machine learning.
  
• Quantum neural networks, deep learning, and optimization under quantum constraints.
  
• Explainable and interpretable AI (XAI) in quantum-based systems.
  
• Quantum cryptography, information theory, and security for intelligent environments.
  
• Quantum-enhanced decision support, data analysis, and simulation frameworks.