Fig. 10
From: Contextual quantum neural networks for stock price prediction
Sequential Prediction for a Portfolio of Assets. A block diagram of our proposed sequential prediction approach, where a fully trained PQC (\(\hat{U}(\varvec{\theta })\)) over K stocks using quantum multi-task learning is used to predict \(\tau =t\) (\(\in \{1,\dots ,R\}\)) consecutive future values for an entire portfolio \(\sum _{k} \frac{V_k}{V} \Big | k \Big \rangle\).
