Quantum reservoir computing using a fully connected transverse-field Ising model with input and memory qubits outperforms econometric and standard ML benchmarks in realized volatility forecasting.
McDonald, Reservoir computing & extreme learning ma- chines using pairs of cellular automata rules, in2017 Interna- tional Joint Conference on Neural Networks (IJCNN)(2017) pp
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Quantum Reservoir Computing for Realized Volatility Forecasting
Quantum reservoir computing using a fully connected transverse-field Ising model with input and memory qubits outperforms econometric and standard ML benchmarks in realized volatility forecasting.