Hybrid quantum neural networks using data re-uploading match or beat small LSTM baselines on next-step traffic flow prediction for one Athens loop detector when the number of qubits and re-upload blocks is increased.
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Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Hybrid quantum neural networks using data re-uploading match or beat small LSTM baselines on next-step traffic flow prediction for one Athens loop detector when the number of qubits and re-upload blocks is increased.