196 citations · 2.3k across the 104 of their papers we have counts for
6 papers · 1 filter
Deep Neural Network Detects Quantum Phase Transition
Shunta Arai, Masayuki Ohzeki, Kazuyuki Tanaka
We detect the quantum phase transition of a quantum many-body system by mapping the observed results of the quantum state onto a neural network. In the present study, we utilized t…
Deformation estimation of an elastic object by partial observation using a neural network
Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki +1
Deformation estimation of elastic object assuming an internal organ is important for the computer navigation of surgery. The aim of this study is to estimate the deformation of an…
An extension of estimation of critical points in ground state for random spin systems
Masayuki Ohzeki, Yuta Kudo, Kazuyuki Tanaka
Most of the analytical studies on spin glasses are performed by using mean-field theory and renormalization group analysis. Analytical studies on finite-dimensional spin glasses ar…
Quantum Speed Limit is Not Quantum
Manaka Okuyama, Masayuki Ohzeki
The quantum speed limit (QSL), or the energy-time uncertainty relation, describes the fundamental maximum rate for quantum time evolution and has been regarded as being unique in q…
Sparse modeling approach to analytical continuation of imaginary-time quantum Monte Carlo data
Junya Otsuki, Masayuki Ohzeki, Hiroshi Shinaoka +1
A new approach of solving the ill-conditioned inverse problem for analytical continuation is proposed. The root of the problem lies in the fact that even tiny noise of imaginary-ti…
Compressing Green's function using intermediate representation between imaginary-time and real-frequency domains
Hiroshi Shinaoka, Junya Otsuki, Masayuki Ohzeki +1
New model-independent compact representations of imaginary-time data are presented in terms of the intermediate representation (IR) of analytical continuation. This is motivated by…