7 citations · 14 across the 3 of their papers we have counts for
3 papers
Quantum-Circuit Framework for Two-Stage Stochastic Programming via QAOA Integrated with a Quantum Generative Neural Network
Taihei Kuroiwa, Daiki Yamazaki, Keita Takahashi +3
Two-stage stochastic programming often discretizes uncertainty into scenarios, but scenario enumeration makes expected recourse evaluation scale at least linearly in the scenario c…
Quantum Circuit Parameters Learning with Gradient Descent Using Backpropagation
Masaya Watabe, Kodai Shiba, Masaru Sogabe +2
Quantum computing has the potential to outperform classical computers and is expected to play an active role in various fields. In quantum machine learning, a quantum computer has…
Convolution filter embedded quantum gate autoencoder
Kodai Shiba, Katsuyoshi Sakamoto, Koichi Yamaguchi +2
The autoencoder is one of machine learning algorithms used for feature extraction by dimension reduction of input data, denoising of images, and prior learning of neural networks.…