Quantum Machine Learning and AI intersections.
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The recent paper from PennyLane shows a clear quantum advantage in specific high-dimensional datasets. I'm trying to replicate this using the Iris dataset.
How are you dealing with vanishing gradients in your QNNs? I've started using 'Local Cost Functions' and it seems to help with the barren plateau problem.