On a 32-point water quality dataset from Durban, a quantum support vector classifier reached 75% accuracy while a quantum neural network consistently failed to train.
Modeling Earth Systems and Environment 8(2), 2793–2801 (2022)
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Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region
On a 32-point water quality dataset from Durban, a quantum support vector classifier reached 75% accuracy while a quantum neural network consistently failed to train.