Results 61 to 70 of about 1,850,478 (263)
Machine Learning the Square-Lattice Ising Model [PDF]
, 2022 Recently, machine-learning methods have been shown to be successful in identifying and classifying different phases of the square-lattice Ising model. We study the performance and limits of classification and regression models.
Çivitcioğlu, Burak +6 more
core +1 more source
A cautionary tale for machine learning generated configurations in presence of a conserved quantity
Scientific Reports, 2021 We investigate the performance of machine learning algorithms trained exclusively with configurations obtained from importance sampling Monte Carlo simulations of the two-dimensional Ising model with conserved magnetization.
Ahmadreza Azizi, Michel Pleimling
doaj +1 more source
Quantum processor-inspired machine learning in the biomedical sciences
Patterns, 2021 Summary: Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex molecular underpinnings of human disease from a genome-wide perspective ...
Richard Y. Li +7 more
doaj +1 more source
Trip Planning Based on subQUBO Annealing
IEEE Access, 2023 The trip planning problem (TPP) can be formulated as a combinatorial optimization problem that searches for the best route to visit a series of landmarks and hotels.
Tatsuya Noguchi +3 more
doaj +1 more source
QUBO Simplification by Singular Value Decomposition and Coefficient Elimination for Ising Machines
IEEE AccessIsing machines, including quantum annealing machines, can efficiently solve combinatorial optimization problems by formulating them as Quadratic Unconstrained Binary Optimization (QUBO). However, it is known that the solving performance of Ising machines
Shinnosuke Inaba +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley +1 more source
Geometric Theory of Ising Machines
CoRRWe contribute to the mathematical theory of the design of low temperature Ising machines, a type of experimental probabilistic computing device implementing the Ising model. Encoding the output of a function in the ground state of a physical system allows efficient and distributed computation, but the design of the energy function is a difficult puzzle.
Andrew G. Moore +2 more
openaire +2 more sources
Heuristic recurrent algorithms for photonic Ising machines [PDF]
Nature Communications, 2020 AbstractThe inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been much effort toward developing application-specific hardware across many different fields of engineering, such as integrated circuits, memristors, and photonics ...
Charles Roques-Carmes +12 more
openaire +7 more sources
Modelos de Ising dinamico [PDF]
, 1994 Dissertação (Mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas.Nesta dissertação estudamos o comportamento dinâmico de dois modelos ferromagnéticos através da equação mestra.
Paula, Gilberto Luiz de Souza
core
Design of CMOS Ising machine for combinatorial optimization problems
, 2022 Combinatorial optimization problems (COPs), a subfield of mathematics, have significant importance in various fields, including artificial intelligence, machine learning, and software engineering.
Su, Yuqi
core +1 more source