quantum circuits

"ZNEでノイズ耐性を高めます."

"Quantum transfer learning highlights: Convolutional features (95% parameters) of ResNet18 pre-trained on ImageNet are frozen; only quantum circuits (4 qubits x 4 layers = 48 parameters) are trained."

"The research focuses on single-qubit quantum circuit outcomes."

"The article's core focus is on a methodology to bypass potentially complex squaring operations within tensor networks and quantum circuits."

"The paper presents a variational framework for differentiable logical inference using quantum circuit reasoning models."