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
Quantum Machine Learning: Theoretical Foundations, Algorithmic Frameworks, and Path to Quantum Advantage
Quantum Machine Learning: Theoretical Foundations, Algorithmic Frameworks, and Path to Quantum Advantage QR

Publish Date

15 - August - 2026

Authors

  • Jouma Al-Mohamad

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