Abstract
The biological time series prediction platform based on quantum computing and embedding theory provides powerful time series analysis tools for researchers in the field of systems biology, promoting the development of research in the field of systems biology.
Overview of CIBHHL-QSVM
A classical quantum hybrid CIBHHL algorithm is proposed by combining classical iterative algorithms and HHL algorithm to optimize the HHL process in QSVM algorithm.
Overview of QTE
The QTE model takes biological time series data as input and sequentially passes through the embedding layer, quantum encoding layer, and multilayer perceptron to output prediction results.
Overview of STNN
A model called STNN is used to achieve spatiotemporal information conversion.
Overview of TVNN
TVNN model consists of data segmentation and decomposition, global prediction module, time-varying prediction module, and combination module.
