no code implementations • 15 Mar 2021 • Takehito Sato, Masayuki Ohzeki, Kazuyuki Tanaka
In this study, we focused on the performance of a quantum annealer as a generative model.
no code implementations • 24 Feb 2021 • Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki, Junko Tokuno, Toyofumi Fengshi Chen-Yoshikawa, Tetsuya Matsuda
In video-assisted thoracoscopic surgeries, successful procedures of nodule resection are highly dependent on the precise estimation of lung deformation between the inflated lung in the computed tomography (CT) images during preoperative planning and the deflated lung in the treatment views during surgery.
no code implementations • 31 Jan 2020 • Yuki Bando, Yuki Susa, Hiroki Oshiyama, Naokazu Shibata, Masayuki Ohzeki, Fernando Javier Gómez-Ruiz, Daniel A. Lidar, Adolfo del Campo, Sei Suzuki, Hidetoshi Nishimori
We find that the degree of agreement with the experimental data from the D-Wave devices is better for the KZM, a quantum theory, than for the classical spin-vector Monte Carlo model, thus favoring a quantum description of the device.
Quantum Physics Statistical Mechanics
no code implementations • 21 Jan 2019 • Masayuki Ohzeki
Hence, we developed a system with a time-dependent Hamiltonian consisting of a combination of the formulated Ising model and the "driver" Hamiltonian with only quantum fluctuation.
no code implementations • 1 Jul 2018 • Masayuki Ohzeki, Shuntaro Okada, Masayoshi Terabe, Shinichiro Taguchi
We numerically test an optimization method for deep neural networks (DNNs) using quantum fluctuations inspired by quantum annealing.
no code implementations • 20 Mar 2018 • Kazuyuki Tanaka, Masamichi Nakamura, Shun Kataoka, Masayuki Ohzeki, Muneki Yasuda
A new Bayesian modeling method is proposed by combining the maximization of the marginal likelihood with a momentum-space renormalization group transformation for Gaussian graphical models.
no code implementations • 1 Dec 2017 • 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.
no code implementations • 28 Nov 2017 • Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki, Tetsuya Matsuda
Deformation estimation of elastic object assuming an internal organ is important for the computer navigation of surgery.
no code implementations • 10 Feb 2017 • Junya Otsuki, Masayuki Ohzeki, Hiroshi Shinaoka, Kazuyoshi Yoshimi
A new approach of solving the ill-conditioned inverse problem for analytical continuation is proposed.
1 code implementation • 10 Feb 2017 • Hiroshi Shinaoka, Junya Otsuki, Masayuki Ohzeki, Kazuyoshi Yoshimi
New model-independent compact representations of imaginary-time data are presented in terms of the intermediate representation (IR) of analytical continuation.
no code implementations • 14 Dec 2016 • Masayuki Ohzeki
Quantum annealing is a generic solver of the optimization problem that uses fictitious quantum fluctuation.
no code implementations • 19 Nov 2015 • Masayuki Ohzeki
In this study, we propose violating the detailed balance condition to enhance the mixing rate.
no code implementations • 11 Mar 2015 • Masayuki Ohzeki
In this study, we utilize the majorizer minimization method, which is a well-known technique implemented in optimization problems, to avoid the non-smoothness of the cost function.
no code implementations • 19 Jan 2015 • Masayuki Ohzeki
In this sense, we evaluate the efficacy of the unsupervised learning component of deep learning.
no code implementations • 5 Jan 2015 • Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Masayuki Ohzeki
A new Bayesian image segmentation algorithm is proposed by combining a loopy belief propagation with an inverse real space renormalization group transformation to reduce the computational time.
no code implementations • 14 Oct 2014 • Shogo Yamanaka, Masayuki Ohzeki, Aurelien Decelle
In this paper we aim to infer the correct biases and interactions of our model by considering a relatively small number of sets of training data.