Tag: variational quantum circuits

A hybrid quantum-classical neural network cut five-day hurricane track errors by 73.2 percent and dramatically improved rapid-intensification prediction across 847 ...

A hybrid quantum-classical model outperformed XGBoost and other classical baselines in predicting ICU mortality across nearly 39,000 MIMIC-IV admissions, though ...

A new quantum-inspired reinforcement learning framework called QuantumEERP-Net extends the lifetime of wireless body sensor networks by more than 80 ...

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 combined layer-aware optimization of stacked intelligent metasurfaces with quantum-enhanced reinforcement learning to achieve faster-converging beamforming that lowers sensing ...

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

Researchers have unveiled a framework that trains personalized quantum classifiers across many users while each label is privatized locally, guaranteeing ...

A comprehensive new review finds that quantum graph neural networks deliver real parameter efficiency and task-specific utility, but definitive quantum ...

A team of researchers has carried out the largest quantum computing experiment to date for image loading and classification on ...