How do quantum machine learning algorithms leverage quantum computing principles to outperform classical machine learning algorithms?

Quantum machine learning algorithms leverage quantum computing principles such as superposition, entanglement, and quantum parallelism to perform computations on quantum states that cannot be efficiently simulated by classical computers. Quantum algorithms such as quantum support vector machines (QSVM), quantum neural networks, and quantum clustering algorithms offer the potential to solve certain optimization and pattern recognition tasks more efficiently than classical counterparts.