Quantum Neural Networks
Amira discusses the intriguing balance between theoretical elegance and empirical success in machine learning. While support vector machines offer a solid theoretical foundation, their quadratic scaling makes them less practical for large datasets compared to the linear scalability of neural networks. The conversation highlights the ongoing exploration of quantum neural networks, questioning whether they will become the preferred method in quantum computing.In this clip
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