activity
20172026
most citedConvolution filter embedded quantum gate autoencoder

7 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Tree Tensor Network Reservoir Computing: Hierarchical Ensemble with Invariant Phase Boundaries

Daiki Sasaki, Chih-Chieh Chen, Tomah Sogabe

We propose Tree Tensor Network Reservoir Computing (TTN-RC), a quantum-inspired reservoir computing framework for time-series prediction that uses the hierarchical structure of Tre…

quant-ph2025

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…

quant-ph2025

Hamiltonian-Driven Architectures for Non-Markovian Quantum Reservoir Computing

Daiki Sasaki, Ryosuke Koga, Taihei Kuroiwa +3

We propose a Hamiltonian-level framework for non-Markovian quantum reservoir computing directly tailored for analog hardware implementations. By dividing the reservoir into a syste…

quant-ph2024

Parametrized Energy-Efficient Quantum Kernels for Network Service Fault Diagnosis

Hiroshi Yamauchi, Tomah Sogabe, Rodney Van Meter

In quantum kernel learning, the primary method involves using a quantum computer to calculate the inner product between feature vectors, thereby obtaining a Gram matrix used as a k…

quant-ph2019★ 7 cited

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…

quant-ph2019★ 7 cited

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.…

cond-mat.mes-hall2017

Hot Carrier Transportation Dynamics in InAs/GaAs Quantum Dot Solar Cell

Tomah Sogabe, Kohdai Nii, Katsuyoshi Sakamoto +2

The hot carrier dynamics and its effect on the device performance of GaAs solar cell and InAs/GaAs quantum dot solar cell (QDSC) was investigated. At first, the fundamental operati…