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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.
Forecasting the steam mass flow in a powerplant using the parallel hybrid network
Efficient and sustainable power generation is a crucial concern in the energy sector.
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.
Hybrid quantum ResNet for car classification and its hyperparameter optimization
We test our approaches in a car image classification task and demonstrate a full-scale implementation of the hybrid quantum ResNet model with the tensor train hyperparameter optimization.
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