output
20022026
most citedWeak Localization and Magnetoconductance in Percolative Superconducting Aluminum Films

8 citations

11 papers

cond-mat.supr-con2026★ 8 cited

Weak Localization and Magnetoconductance in Percolative Superconducting Aluminum Films

Kazumasa Yamada, Bunjyu Shinozaki, Takashi Kawaguti

In order to investigate the crossover from the homogeneous behavior to inhomogeneous (percolative) one, the temperature and magnetic field H dependence of the sheet resistance…

cs.LG2025

A Diagnostic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm

Kazuhisa Fujita

The Error Diffusion Learning Algorithm (EDLA) is a learning scheme that performs synaptically local weight updates driven by a single, globally defined error signal. Although origi…

cs.LG2024

AlphaViT: A flexible game-playing AI for multiple games and variable board sizes

Kazuhisa Fujita

We present three game-playing agents incorporating Vision Transformers (ViT) into the AlphaZero framework: AlphaViT, AlphaViD (AlphaViT with a transformer decoder), and AlphaVDA (A…

math-ph2024★ 1 cited

Two-dimensional quantum central limit theorem by quantum walks

Keisuke Asahara, Daiju Funakawa, Motoki Seki +1

The weak limit theorem (WLT), the quantum analogue of the central limit theorem, is foundational to quantum walk (QW) theory. Unlike the universal Gaussian limit of classical walks…

cs.LG2023

Characteristics of networks generated by kernel growing neural gas

Kazuhisa Fujita

This research aims to develop kernel GNG, a kernelized version of the growing neural gas (GNG) algorithm, and to investigate the features of the networks generated by the kernel GN…

cs.LG2020

Estimation of the number of clusters on d-dimensional sphere

Kazuhisa Fujita

Spherical data is distributed on the sphere. The data appears in various fields such as meteorology, biology, and natural language processing. However, a method for analysis of sph…