日本物理学会, 第29回(2024年)論文賞,Detection of Phase Transition via Convolutional Neural NetworksAkinori Tanaka Akio Tomiya
2019年6月
2019年度素粒子論委員会, 素粒子メダル奨励賞,Detection of Phase Transition via Convolutional Neural Networks富谷昭夫 田中章詞
2019年4月
Journal of the Physical Society of Japan, Most Cited Articles in 2018 from Vol. 86 (2017),Detection of Phase Transition via Convolutional Neural Networks富谷昭夫 田中章詞
In this paper, we develop the self-learning Monte-Carlo (SLMC) algorithm for
non-abelian gauge theory with dynamical fermions in four dimensions to resolve
the autocorrelation problem in lattice QCD. We perform simulations with the
dynamical stagg...
Sam Foreman   Taku Izubuchi   Luchang Jin   Xiao-Yong Jin   James C. Osborn   Akio Tomiya   
2021年12月
We propose using Normalizing Flows as a trainable kernel within the molecular
dynamics update of Hamiltonian Monte Carlo (HMC). By learning (invertible)
transformations that simplify our dynamics, we can outperform traditional
methods at generatin...
Chuan-Xin Cui   Jin-Yang Li   Shinya Matsuzaki   Mamiya Kawaguchi   Akio Tomiya   
2021年6月
We find that the chiral phase transition (chiral crossover) in QCD at
physical point is triggered by big imbalance among three fundamental quantities
essential for the QCD vacuum structure: susceptibility functions for the chiral
symmetry, axial s...
We discuss the violation of quark-flavor symmetry at high temperatures,
induced from nonperturbative thermal loop corrections and axial anomaly, based
on a three-flavor linear-sigma model including an axial-anomaly induced-flavor
breaking term. We...
We develop a gauge covariant neural network for four dimensional non-abelian
gauge theory, which realizes a map between rank-2 tensor valued vector fields.
We find that the conventional smearing procedure and gradient flow for gauge
fields can be ...
GomalizingFlow.jl: is a package to generate configurations for quantum field
theory on the lattice using the flow based sampling algorithm in Julia
programming language. This software serves two main purposes: to accelerate
research of lattice QCD...
Yuanyuan Wang   Mamiya Kawaguchi   Shinya Matsuzaki   Akio Tomiya   
2022年8月
The first-order nature of the chiral phase transition in QCD-like theories
can play crucial roles to address a dark side of the Universe, where the
created out-of equilibrium is essential to serve as cosmological and
astrophysical probes such as g...
Chuan-Xin Cui   Mamiya Kawaguchi   Jin-Yang Li   Shinya Matsuzaki   Akio Tomiya   
2022年5月
Violation of the axial symmetry in QCD is stiffer than the chiral
breaking, simply because of the presence of the quantum axial anomaly.
Hence it might be expected that if and only if the QCD gauge coupling is turned
off, or sent to...
We investigate a quantum gauge theory at finite temperature and density using
a variational algorithm for near-term quantum devices. We adapt -VQE to
evaluate thermal and quantum expectation values and study the phase diagram for
massless S...
Chiral symmetry is a key to investigating quantum physics, from condensed
matter to particle physics. We propose a novel way of realizing a chiral
fermion, known as the overlap-Dirac operator, without explicitly calculating
the low modes of the Wi...