Convolutional Quantum Reservoir Computing for Time Series Forecasting: a case study on solar energy generation
URL https://www.researchsquare.com/article/rs-7273383/v1.pdf Stage Normal Science Paradigm framing The research is situated within the established paradigm of Machine Learning for time series forecasting, which uses models like LSTM and Transformers to predict future events. It introduces and tests a novel technique, Convolutional Quantum Reservoir Computing (C-QRC), derived from the emerging field of Quantum Machine Learning. This […]