C.R.B. Azevedo and T.A.E. Ferreira (Brazil)
Time series forecasting, qubit neural networks, artificial neural networks, artificial intelligence, quantum computing
This paper proposes a quantum learning scheme approach for time series forecasting, through the application of the new non-standard Qubit Neural Network (QNN) model. The QNN description was adapted in this work in order to resemble classical Artificial Neural Networks (ANNs). Three stock market series were predicted. The results are discussed over several statistics and are compared with ANNs experiments with equivalent degrees of freedom.
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