Emerging Tech
Quantum Machine Learning: How Superposition and Entanglement Could Accelerate AI—and the Three Barriers Holding It Back
Quantum machine learning (QML) aims to speed up specific machine learning tasks by running computations on quantum hardware, where superposition, entanglement, and interference replace the bits and neurons of classical systems. The promise is real but conditional, acknowledging significant technical challenges, particularly around trainability and noise.
Diego Navarro·November 13, 2026
