AFTER

Call For Papers

The ICQCAI emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Quantum Computing And Artificial Intelligence are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Quantum algorithms for AI optimization
Quantum machine learning techniques
Applications of quantum computing in AI
Quantum-enhanced data analysis methods
Quantum neural networks and architectures
Quantum computing for big data challenges
Hybrid quantum-classical AI systems
Quantum cryptography in AI applications
Quantum simulations for AI training
AI-driven quantum hardware development
Quantum computing in natural language processing
Quantum AI for financial modeling
Quantum-enhanced image recognition techniques
AI applications in quantum chemistry
Quantum computing for optimization problems
Scalability of quantum AI solutions
Interdisciplinary approaches to quantum AI
Challenges in quantum AI integration
Future trends in quantum AI research
Ethics of quantum computing in AI

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.