QARIMA applies quantum autocorrelation via swap tests and fixed variational quantum circuits to automate lag discovery and AR/MA coefficient estimation in classical ARIMA models, reporting lower out-of-sample errors than automated classical ARIMA on tested datasets.
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QARIMA: A Quantum Approach To Classical Time Series Analysis
QARIMA applies quantum autocorrelation via swap tests and fixed variational quantum circuits to automate lag discovery and AR/MA coefficient estimation in classical ARIMA models, reporting lower out-of-sample errors than automated classical ARIMA on tested datasets.