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A supervised hybrid quantum machine learning solution to the emergency escape routing problem
We propose a novel hybrid supervised learning approach and test it on hypothetical situations on a concrete city graph.
Quantum machine learning for image classification
This model demonstrated a record-breaking classification accuracy of 99. 21% on the full MNIST dataset, surpassing the performance of known quantum-classical models, while having eight times fewer parameters than its classical counterpart.
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms
This study paves the way to understanding the optimal combination of available software and hardware for executing practical quantum algorithms.
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