Quantum variational autoencoder utilizing regularized mixed-state latent representations
Wang G, Warrell J, Emani P, Gerstein M. Quantum variational autoencoder utilizing regularized mixed-state latent representations. Physical Review A 2025, 111: 042416. DOI: 10.1103/physreva.111.042416.Peer-Reviewed Original ResearchQuantum modelQuantum dataVariational autoencoderLatent representationQuantum computationNear-term quantum computersQuantum hardware resourcesOptimal latent representationEfficient data compressionLow-dimensional representationQuantum componentsDensity matrixLower-dimensional spaceQuantum frameworkMixed stateFederated learningRepresentation learningLearned representationsLatent spaceData compressionHardware resourcesMachine learningSynthetic dataData generationAutoencoder
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