Fig. 9
From: Contextual quantum neural networks for stock price prediction

Sequential Prediction for an Asset. 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 by loading the continuation on a new ancilla for each t.