
Assessment of image generation by quantum annealer
Quantum annealing was originally proposed as an approach for solving com...
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Kernelbased framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks
In videoassisted thoracoscopic surgeries, successful procedures of nodu...
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MaximumLikelihood Channel Decoding with Quantum Annealing Machine
We formulate maximum likelihood (ML) channel decoding as a quadratic unc...
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Breaking limitation of quantum annealer in solving optimization problems under constraints
Quantum annealing is a generic solver for optimization problems that use...
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Messagepassing algorithm of quantum annealing with nonstoquastic Hamiltonian
Quantum annealing (QA) is a generic method for solving optimization prob...
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Control of automated guided vehicles without collision by quantum annealer and digital devices
We formulate an optimization problem to control a large number of automa...
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Optimization of neural networks via finitevalue quantum fluctuations
We numerically test an optimization method for deep neural networks (DNN...
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MomentumSpace Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model
A new Bayesian modeling method is proposed by combining the maximization...
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Deformation estimation of an elastic object by partial observation using a neural network
Deformation estimation of elastic object assuming an internal organ is i...
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Sparse modeling approach to analytical continuation of imaginarytime quantum Monte Carlo data
A new approach of solving the illconditioned inverse problem for analyt...
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Compressing Green's function using intermediate representation between imaginarytime and realfrequency domains
New modelindependent compact representations of imaginarytime data are...
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Stochastic gradient method with accelerated stochastic dynamics
In this paper, we propose a novel technique to implement stochastic grad...
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L_1regularized Boltzmann machine learning using majorizer minimization
We propose an inference method to estimate sparse interactions and biase...
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Statisticalmechanical analysis of pretraining and fine tuning in deep learning
In this paper, we present a statisticalmechanical analysis of deep lear...
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Inverse Renormalization Group Transformation in Bayesian Image Segmentations
A new Bayesian image segmentation algorithm is proposed by combining a l...
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Detection of cheating by decimation algorithm
We expand the item response theory to study the case of "cheating studen...
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Masayuki Ohzeki
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