2 papers
quant-ph2025
Efficient Privacy-Preserving Training of Quantum Neural Networks by Using Mixed States to Represent Input Data Ensembles
Gaoyuan Wang, Jonathan Warrell, Mark Gerstein
Quantum neural networks (QNNs) are gaining increasing interest due to their potential to detect complex patterns in data by leveraging uniquely quantum phenomena. This makes them p…
quant-ph2025
-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations
Gaoyuan Wang, Jonathan Warrell, Prashant S. Emani +1
A major challenge in quantum computing is its application to large real-world datasets due to scarce quantum hardware resources. One approach to enabling tractable quantum models f…