54 citations · 83 across the 14 of their papers we have counts for
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quant-ph2021★ 2 cited
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…
quant-ph2021★ 4 cited
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…