Discuss the implications of quantum computing for AI and machine learning. What potential advantages does quantum computing offer, and what are the current limitations and hurdles to be overcome?

Quantum computing has the potential to revolutionize AI and machine learning by providing exponential speed-ups for certain computations, such as optimization problems and large-scale data processing. Potential advantages include faster training of complex models, solving intractable problems, and enhancing cryptographic algorithms. Current limitations include the nascent stage of quantum hardware, error rates in quantum computations, and the need for new quantum algorithms and frameworks that can effectively leverage quantum capabilities. Overcoming these hurdles requires advancements in quantum hardware, error correction techniques, and a deeper understanding of quantum algorithm design.