Quantum Machine Learning: Theoretical Foundations, Algorithmic Frameworks, and Path to Quantum Advantage
Quantum Machine Learning (QML) merges quantum computing and deep learning by leveraging phenomena like superposition and entanglement to offer theoretical processing advantages. However, practical implementation remains constrained by noisy intermediate-scale quantum (NISQ) hardware limitations and error rates
Publish Date
15 - August - 2026
Authors
- Jouma Al-Mohamad