Quantum Neural Networks for Contextual Sequence Generation. Given historical data of context and continuations, a Quantum Neural Network is trained to produce quantum distributions over future prices, enabling utilization of quantum advantageous algorithms, such as quantum risk analysis30, downstream for tasks (labeled M in the rightmost diagram at a particular future) over all sequences in superposition.
In this section, we introduce all the background information needed to understand this paper including the time-series prediction model and contextual Quantum Neural Networks (QNN) for modeling asset futures.
Time-series prediction
A financial asset price prediction model is a time-series forecasting model designed to predict future…
