activity
20172026
most citedMixing time and simulated annealing for the stochastic cellular automata

4 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

math.PR2026

A Central Limit Theorem for High-Temperature SYK Model: A case study on mathematical research using AI and Lean

Yoshinori Kamijima, Shuta Nakajima, Ryoichiro Noda +1

The Sachdev--Ye--Kitaev (SYK) model is a quantum many-body model of Majorana fermions with all-to-all random interactions. It has attracted wide interest in condensed matter and hi…

math-ph2025

Mean-field behavior of the quantum Ising susceptibility and a new lace expansion for the classical Ising model

Yoshinori Kamijima, Akira Sakai

The transverse-field Ising model is widely studied as one of the simplest quantum spin systems. It is known that this model exhibits a phase transition at the critical inverse temp…

math.OC2022

Stochastic optimization: Glauber dynamics versus stochastic cellular automata

Bruno Hideki Fukushima-Kimura, Yoshinori Kamijima, Kazushi Kawamura +1

The topic we address in this paper concerns the minimization of a Hamiltonian function for an Ising model through the application of simulated annealing algorithms based on (single…

math-ph2021

Mean-field behavior of nearest-neighbor oriented percolation on the BCC lattice above dimensions

Lung-Chi Chen, Satoshi Handa, Yoshinori Kamijima

In this paper, we consider nearest-neighbor oriented percolation with independent Bernoulli bond-occupation probability on the -dimensional body-centered cubic (BCC) lattice $\m…

math.PR2020★ 4 cited

Mixing time and simulated annealing for the stochastic cellular automata

Bruno Hideki Fukushima-Kimura, Satoshi Handa, Katsuhiro Kamakura +3

Finding a ground state of a given Hamiltonian of an Ising model on a graph is an important but hard problem. The standard approach for this kind of problem is the applica…

math.OC2019★ 2 cited

Finding optimal solutions by stochastic cellular automata

Satoshi Handa, Katsuhiro Kamakura, Yoshinori Kamijima +1

Finding a ground state of a given Hamiltonian is an important but hard problem. One of the potential methods is to use a Markov chain Monte Carlo (MCMC) to sample the Gibbs distrib…

math.PR2017★ 1 cited

A survey on the lace expansion for the nearest-neighbor models on the BCC lattice

Satoshi Handa, Yoshinori Kamijima, Akira Sakai

The aim of this survey is to explain, in a self-contained and relatively beginner-friendly manner, the lace expansion for the nearest-neighbor models of self-avoiding walk and perc…