Proves the convergence rate to steady state in the linear TMB chromatography model is set by the dominant eigenvalue of the coupled hyperbolic system, with explicit characteristic function and application to omeprazole enantiomer separation.
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A variational quantum autoencoder detects anomalies in brain MRI by scoring resistance to compression, reporting slice-level ROC-AUC of 0.95 and outperforming classical autoencoders and PCA on public datasets.
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On the rate of convergence to steady state in a linear chromatography model
Proves the convergence rate to steady state in the linear TMB chromatography model is set by the dominant eigenvalue of the coupled hyperbolic system, with explicit characteristic function and application to omeprazole enantiomer separation.
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Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder
A variational quantum autoencoder detects anomalies in brain MRI by scoring resistance to compression, reporting slice-level ROC-AUC of 0.95 and outperforming classical autoencoders and PCA on public datasets.