4 citations · 6 across the 2 of their papers we have counts for
3 papers
Normalized Gradient Descent for Variational Quantum Algorithms
Yudai Suzuki, Hiroshi Yano, Rudy Raymond +1
Variational quantum algorithms (VQAs) are promising methods that leverage noisy quantum computers and classical computing techniques for practical applications. In VQAs, the classi…
Trainable Discrete Feature Embeddings for Variational Quantum Classifier
Napat Thumwanit, Chayaphol Lortaraprasert, Hiroshi Yano +1
Quantum classifiers provide sophisticated embeddings of input data in Hilbert space promising quantum advantage. The advantage stems from quantum feature maps encoding the inputs i…
Analysis and synthesis of feature map for kernel-based quantum classifier
Yudai Suzuki, Hiroshi Yano, Qi Gao +4
A method for analyzing the feature map for the kernel-based quantum classifier is developed; that is, we give a general formula for computing a lower bound of the exact training ac…