A parameterized quantum circuit trained with classical optimizers achieved the lowest test MSE on a synthetic sales forecast task, while a variational quantum linear solver failed to produce usable forecasts.
A probabilistic and information theoretic inter- pretation of quantum evolutions
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Exploring Hybrid Quantum-Classical Methods for Practical Time-Series Forecasting
A parameterized quantum circuit trained with classical optimizers achieved the lowest test MSE on a synthetic sales forecast task, while a variational quantum linear solver failed to produce usable forecasts.