Tag: Quantum neural networks

A new study proposes a regularization method that adds a symmetry-based penalty term to the cost function of quantum neural ...

A simulator-based hybrid quantum-classical framework reported 98.5% accuracy in predicting cross-border e-commerce marketing effectiveness, outperforming classical baselines on synthetic transaction ...

A scale-matched benchmark finds that simulated hybrid quantum-classical neural networks match, but do not surpass, classical models and a simple ...

An open source toolkit called CohAlign predicts the first-order noise susceptibility of gradients in charge-conserving brickwork quantum neural networks from ...

A geometry-aware mesh network achieved 80.46% accuracy across five dental occlusion classifications in a 200-scan proof-of-concept study using simulated quantum ...

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

Researchers in Vienna have redesigned dissipative quantum neural networks so each building block can implement any quantum channel, and shown ...

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

Researchers have built a quantum version of the classic perceptron whose probabilistic activation naturally suits quantum hardware and can even ...

Researchers have developed QuanONet, a quantum neural operator proven to achieve quadratic expressivity that outperforms quantum baselines and matches classical ...