A walk through of time series analysis on quantum computers. (arXiv:2205.00986v2 [quant-ph] UPDATED)

Web: http://arxiv.org/abs/2205.00986

Because of the rotational components on quantum circuits, some quantum neural
networks based on variational circuits can be considered equivalent to the
classical Fourier networks. In addition, they can be used to predict the
Fourier coefficients of continuous functions. Time series data indicates a
state of a variable in time. Since some time series data can be also considered
as continuous functions, we can expect quantum machine learning models to do
many data analysis tasks successfully on time series data. …

analysis arxiv computers on quantum time time series