PGKET replaces softmax attention with a photonic Gaussian kernel score, claiming accuracy gains over two quantum transformer baselines on small subsets of MedMNIST v2 and CIFAR-10.
Gaussian kernelized self-attent ion for long sequence data and its application to CTC-based speech recognition,
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PGKET: A Photonic Gaussian Kernel Enhanced Transformer
PGKET replaces softmax attention with a photonic Gaussian kernel score, claiming accuracy gains over two quantum transformer baselines on small subsets of MedMNIST v2 and CIFAR-10.