Tag: Quantum machine learning

Researchers have built a hybrid quantum-classical deep learning model that uses variational quantum circuits and a statistical image prior to ...

A hybrid quantum-classical detector called Q-SODA uses an eight-qubit entangling circuit to achieve record precision on small object detection while ...

Researchers have shown that a carefully optimized quantum convolutional neural network can outperform classical models with similar parameter counts when ...

Researchers have encoded a machine learning feature-selection problem directly into the geometry and laser control of neutral-atom Rydberg arrays, achieving ...

The first dedicated scientometric map of quantum natural language processing reveals a fast-growing field dominated by classification tasks, with some ...

A new theoretical framework separates computational speed from statistical generalization in quantum machine learning, showing that faster quantum algorithms alone ...

A new study shows quantum kernel methods dramatically outperform classical RBF kernels in industrial acoustic anomaly detection when anomaly distributions ...

Researchers used a 61-qubit quantum processor and projected quantum kernels to improve prediction of CAR T-cell cytotoxicity, with the largest ...

Researchers have built a federated hybrid quantum-classical neural network that classifies Alzheimer's disease from MRI scans with benchmark accuracies above ...

A controlled comparison finds quaternion-valued neural networks match or exceed shallow variational quantum circuits on MNIST, FashionMNIST, and CIFAR-10 at ...