Call For Papers
The ICQCML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Quantum algorithms for machine learning
- Quantum machine learning applications
- Hybrid quantum-classical computing models
- Quantum data encoding techniques
- Error correction in quantum ML systems
- Quantum neural networks and architectures
- Applications of quantum computing in AI
- Quantum-enhanced optimization algorithms
- Machine learning for quantum system analysis
- Quantum cryptography and machine learning
- Scalability challenges in quantum ML
- Quantum simulations for machine learning
- Interdisciplinary approaches to quantum AI
- Quantum machine learning frameworks
- Impact of quantum computing on ML research
- Quantum feature selection methods
- Real-world applications of quantum ML
- Ethical implications of quantum technologies
- Future directions in quantum machine learning
- Collaborative quantum computing initiatives
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.