Learning

Quantum Machine Learning for ML Practitioners

Quantum Mechanics Fundamentals → Current QML Frameworks and Practice

This learning path equips machine learning practitioners with the foundational quantum physics and quantum computing knowledge needed to understand quantum machine learning (QML). It covers quantum data encoding, quantum kernels, and quantum neural networks, bridging classical ML concepts with their quantum counterparts.