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Found 7 papers, 0 papers with code
Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback
Latent diffusion models are the state-of-the-art for synthetic image generation.
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.
Parallel Hybrid Networks: an interplay between quantum and classical neural networks
In this work, we introduce a new, interpretable class of hybrid quantum neural networks that pass the inputs of the dataset in parallel to 1) a classical multi-layered perceptron and 2) a variational quantum circuit, and then the outputs of the two are linearly combined.
Quantum algorithms applied to satellite mission planning for Earth observation
This paper introduces a set of quantum algorithms to solve the mission planning problem and demonstrate an advantage over the classical algorithms implemented thus far.
An exponentially-growing family of universal quantum circuits
Independently, angle-embedded supervised quantum neural networks were shown to produce truncated Fourier series with a degree directly dependent on two factors: the depth of the encoding and the number of parallel qubits the encoding applied to.
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.
