Results 51 to 60 of about 1,742,725 (265)
A general learning scheme for classical and quantum Ising machines
An Ising machine is any hardware specifically designed for finding the ground state of the Ising model. Relevant examples are coherent Ising machines and quantum annealers. In this paper, we propose a new machine learning model that is based on the Ising
Ludwig Schmid, Enrico Zardini, Davide Pastorello
doaj +1 more source
We develop a custom printed circuit board (PCB) for a low-power and high-speed accelerator of NP-Hard graph problems. The architecture implements an annealing-based computing paradigm using a network of nonlinear electronic oscillators whose phase dynamics converge to stable configurations that encode solutions. We review the theoretical framework, and
Matt Bowring, Ben Anderdson, Ben Tiffany
openaire +2 more sources
Fast Hyperparameter Tuning for Ising Machines
This work has been submitted and accepted at IEEE ICCE2023.
Matthieu Parizy +2 more
openaire +3 more sources
A cautionary tale for machine learning generated configurations in presence of a conserved quantity
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
Ising machine data input apparatus and method of inputting data into an Ising machine
Apparatus and method of inputting data into an Ising machine. The apparatus may comprise at least one processor to carry out a conversion process to convert an input expression, in a format unsuitable for inputting into an Ising machine, to a suitable ...
Serban Georgescu (17656275) +1 more
core +6 more sources
Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models [PDF]
This letter considers the problem of computing the Cramer–Rao bound for the parameters of a Markov random field. Computation of the exact bound is not feasible for most fields of interest because their likelihoods are intractable and have intractable ...
Batatia, Hadj +8 more
core +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
Modelos de Ising dinamico [PDF]
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
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
This work developed an all‐aqueous freeze‐thaw strategy to create a dual‐conductive PVA/P3KBT binder for high volume‐change lithium–ion battery anodes. The resulting binder system strengthens the electrode structure, supports ion and electron transport, and accommodates repeated volume changes, reducing cracking and improving long‐term cycling ...
Haoze Ren +17 more
wiley +1 more source

