Efficient privacy-preserving training of quantum neural networks through ensemble encoding of quantum states
Gao-Yuan Wang, Jonathan H. Warrell, M. Gerstein
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Learning Disentangled Representations with Quantum Variational Autoencoders
Variational autoencoders are powerful representation learning models that map complex data into low-dimensional latent spaces, enabling the discovery of interpretable and disentangled factors. Such representations can facilitate the interpretation and controllable generation of data describing complex scientific system...
Gao-Yuan Wang, Jerry Tan, M. Gerstein
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