A hybrid qDTW architecture with a Unified Pre-Embedding Adjoint Ansatz and identified spatial-temporal tradeoff outperforms classical DTW baselines on multivariate series up to 8 dimensions.
Data re-uploading in quantum machine learning for time series: application to traffic forecasting,
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Quantum Dynamic Time Warping for Multivariate Time Series Classification
A hybrid qDTW architecture with a Unified Pre-Embedding Adjoint Ansatz and identified spatial-temporal tradeoff outperforms classical DTW baselines on multivariate series up to 8 dimensions.