A fixed, untrained 10-qubit circuit with CNOT entanglement forecasts Z500 weather data with MSE near classical AR models, but the claimed logarithmic training complexity is an artifact of defining the window size as log2 of the dataset.
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Entanglement for Pattern Learning in Temporal Data with Logarithmic Complexity: Benchmarking on IBM Quantum Hardware
A fixed, untrained 10-qubit circuit with CNOT entanglement forecasts Z500 weather data with MSE near classical AR models, but the claimed logarithmic training complexity is an artifact of defining the window size as log2 of the dataset.