The International Conference on Quantum Computing and Machine Learning is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
01
Quantum Algorithms For Machine Learning
02
Quantum Machine Learning Applications
03
Hybrid Quantum-classical Computing Models
04
Quantum Data Encoding Techniques
05
Error Correction In Quantum Ml Systems
06
Quantum Neural Networks And Architectures
07
Applications Of Quantum Computing In Ai
08
Quantum-enhanced Optimization Algorithms
09
Machine Learning For Quantum System Analysis
10
Quantum Cryptography And Machine Learning
11
Scalability Challenges In Quantum Ml
12
Quantum Simulations For Machine Learning
13
Interdisciplinary Approaches To Quantum Ai
14
Quantum Machine Learning Frameworks
15
Impact Of Quantum Computing On Ml Research
16
Quantum Feature Selection Methods
17
Real-world Applications Of Quantum Ml
18
Ethical Implications Of Quantum Technologies
19
Future Directions In Quantum Machine Learning
20
Collaborative Quantum Computing Initiatives