A hybrid model uses ridgelet feature extraction inside quantum neural networks for stock time-series forecasting and QAOA to select optimal portfolios from the forecasts.
Short-term photovoltaic power forecasting based on hybrid quantum gated recurrent unit
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Hybrid Quantum-Classical Ridgelet Neural Networks for Portfolio Optimization
A hybrid model uses ridgelet feature extraction inside quantum neural networks for stock time-series forecasting and QAOA to select optimal portfolios from the forecasts.