A5075459292- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Material Dynamics and Properties
- Quantum-Dot Cellular Automata
- Advanced Thermodynamics and Statistical Mechanics
- Optimization and Search Problems
- Theoretical and Computational Physics
- Metallic Glasses and Amorphous Alloys
- Metaheuristic Optimization Algorithms Research
- Sleep and Wakefulness Research
- Field-Flow Fractionation Techniques
- Electrostatics and Colloid Interactions
- Extremum Seeking Control Systems
- Ecosystem dynamics and resilience
- Smart Parking Systems Research
- Robotic Path Planning Algorithms
- Nanoporous metals and alloys
- Cloud Computing and Resource Management
- Force Microscopy Techniques and Applications
- nanoparticles nucleation surface interactions
- Advanced Memory and Neural Computing
- Advanced Electron Microscopy Techniques and Applications
- Photonic Crystals and Applications
- Surfactants and Colloidal Systems
- Optical properties and cooling technologies in crystalline materials
Tohoku University
2014-2022
Sigma (Poland)
2020-2022
The University of Tokyo
2008-2018
Tokyo University of Science
2007
Recent advance on quantum devices realizes an artificial spin system known as the D-Wave 2000Q, which implements Ising model with tunable transverse field. In this system, we perform a specific protocol of annealing to attain ground state, minimizer energy. Therefore device is often called annealer. However resulting configurations are not always in state. It can rather quickly generate many following Gibbs-Boltzmann distribution. present study, formulate control large number automated...
For e-commerce websites, deciding the manner in which items are listed on webpages is an important issue because it can dramatically affect item sales. One of simplest strategies listing to improve overall sales do so a descending order or numbers. However, lists generated using this strategy, with high similarity often placed consecutively. In other words, list might be biased toward specific preference. Therefore, study employs penalties for being next each and transforms problem quadratic...
Steel manufacturing involves multiple processes, and optimizing the production schedule is essential for improving quality, cost, delivery of products. However, corresponding optimization problems are usually NP-hard generally intractable even modern high-performance computers. Recent advances in quantum computers, such as those developed by D-Wave Systems, have opened new possibilities handling this type problem. Nevertheless, a major obstacle to application currently available computers...
Structural variation, vitrification, and crystallization processes in liquid nickel are simulated on continuous cooling isothermal holding using a classical molecular-dynamics computer simulation procedure with an embedded-atom method potential at constant pressure. changes monitored direct structure observation the cells, as well by pair distribution radial functions created atomic coordinates. A cluster analysis is also performed. The kinetics analyzed under conditions monitoring density...
We propose a new method for solving binary optimization problems under inequality constraints using quantum annealer. To deal with constraints, we often use slack variables, as in previous approaches. When usually conduct expansion, which requires numerous physical qubits. Therefore, the problem of current annealer is limited to small scale. In this study, employ alternating direction multipliers. This approach allows us various types without variables. test performance our algorithm,...
We investigate colloidal suspensions under shear flow through numerical experiments. By measuring the time-correlation function of a bond-orientational order parameter, we find divergent time scale near transition point from disordered fluid phase to an ordered phase, where is characterized by nonzero value parameter. also present diagram in $(\ensuremath{\rho},{\mathrm{\ensuremath{\gamma}\ifmmode \dot{}\else \.{}\fi{}}}^{\mathrm{ex}})$ plane, $\ensuremath{\rho}$ density particles and...
We formulate an optimization problem to control a large number of automated guided vehicles in plant without collision. The formulation consists binary variables. A quadratic cost function over these variables enables us utilize certain solvers on digital computers and recently developed purpose-specific hardware such as D-Wave 2000Q the Fujitsu annealer. In present study, we consider actual Japan, which run, assess efficiency our for optimizing via several solvers. confirm that can be...
We study the order-disorder transition in colloidal suspensions under shear flow by performing Brownian dynamics simulations.We characterize terms of a statistical property time-dependent maximum value structure factor.We find that its power spectrum exhibits power-law behaviour only ordered phase.The exponent is approximately -2 at frequencies greater than magnitude rate, while 1/f -type fluctuations lower frequency regime.
A sparse modeling approach is proposed for analyzing scanning tunneling microscopy topography data, which contains numerous peaks corresponding to surface atoms. The method, based on the relevance vector machine with $\mathrm{L}_1$ regularization and $k$-means clustering, enables separation of atomic center positioning accuracy beyond resolution measurement grid. validity efficiency method are demonstrated using synthetic data in comparison conventional least-square method. An application...
In this paper, we propose a novel architecture for (quasi) optimization problem solver system designing automation that combines generator and general solver. It efficiently generates the number of constraints from simple description about requirements, solves at high speed by utilizing powerful Our challenge is to apply quantum annealing purpose. However, faced following technical problems caused fundamental properties annealer: P1) annealer does not accept constraint with inequality, which...
Black-box optimization minimizes an objective function without derivatives or explicit forms. Such method with continuous variables has been successful in the fields of machine learning and material science. For discrete variables, Bayesian combinatorial structure (BOCS) is a powerful tool for solving black-box problems. A surrogate model used BOCS quadratic unconstrained binary (QUBO) form. Because approximation to QUBO form BOCS, can expand possibilities using D-Wave quantum annealers,...
We investigate order‐disorder transitions in non‐equilibrium systems. Specifically, we consider colloidal suspensions under shear flow by performing Brownian dynamics simulations. characterize the transition this system terms of a statistical property time‐dependent maximum value structure factor. report that it exhibits power‐law fluctuations, which appears only ordered phase.
We will review the principles and applications of recently developing quantum annealers represented by D-Wave machines, discuss applicability to material materials science.