7 citations · 18 across the 3 of their papers we have counts for
5 papers
Deterministic and random features for large-scale quantum kernel machine
Kouhei Nakaji, Hiroyuki Tezuka, Naoki Yamamoto
Quantum machine learning (QML) is the spearhead of quantum computer applications. In particular, quantum neural networks (QNN) are actively studied as the method that works both in…
Quantum semi-supervised generative adversarial network for enhanced data classification
Kouhei Nakaji, Naoki Yamamoto
In this paper, we propose the quantum semi-supervised generative adversarial network (qSGAN). The system is composed of a quantum generator and a classical discriminator/classifier…
Expressibility of the alternating layered ansatz for quantum computation
Kouhei Nakaji, Naoki Yamamoto
The hybrid quantum-classical algorithm is actively examined as a technique applicable even to intermediate-scale quantum computers. To execute this algorithm, the hardware efficien…
LHC signature with long-lived stau in high reheating temperature scenario
Motoi Endo, Koichi Hamaguchi, Kouhei Nakaji
We study the possibility of observing the stau signal at LHC in case that the gravitino is the lightest supersymmetric particle and the stau is the next lightest supersymmetric par…
Inverse Problem of Cosmic-Ray Electron/Positron from Dark Matter
Koichi Hamaguchi, Kouhei Nakaji, Eita Nakamura
We discuss the possibility of solving the inverse problem of the cosmic-ray electron/positron from decaying/annihilating dark matter, and show simple analytic formulae to reconstru…