Results 61 to 70 of about 43,164 (298)

Demonstration of an energy-efficient Ising solver composed of Ovonic threshold switch (OTS)-based nano-oscillators (OTSNOs)

open access: yesNano Convergence
As there is an increasing need for an efficient solver of combinatorial optimization problems, much interest is paid to the Ising machine, which is a novel physics-driven computing system composed of coupled oscillators mimicking the dynamics of the ...
Young Woong Lee   +9 more
doaj   +1 more source

Quantum adiabatic machine learning by zooming into a region of the energy surface [PDF]

open access: yes, 2020
Recent work has shown that quantum annealing for machine learning, referred to as QAML, can perform comparably to state-of-the-art machine learning methods with a specific application to Higgs boson classification.
Job, Joshua   +5 more
core  

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

open access: yesAdvanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo   +3 more
wiley   +1 more source

Identifying Product Order with Restricted Boltzmann Machines

open access: yes, 2018
Unsupervised machine learning via a restricted Boltzmann machine is an useful tool in distinguishing an ordered phase from a disordered phase. Here we study its application on the two-dimensional Ashkin-Teller model, which features a partially ordered ...
Li, Zhenyu   +4 more
core   +1 more source

Transforming Generalized Ising Model into Boltzmann Machine [PDF]

open access: greenPhysical Review E, 2018
12 pages, 8 ...
Nobuyuki Yoshioka   +2 more
openalex   +4 more sources

Microwave Photonic Ising Machine [PDF]

open access: yes, 2020
Abstract Ising machines based on analog systems have the potential of acceleration in solving ubiquitous combinatorial optimization problems. Although some artificial spins to support large-scale Ising machine is reported, e.g. superconducting qubits in quantum annealers and short optical pulses in coherent Ising machines, the spin coherence is
Cen, Qizhuang   +7 more
openaire   +2 more sources

Bioinspired Shape‐Memory Hook Fasteners With Programmable Interlocking and Silent Release

open access: yesAdvanced Engineering Materials, EarlyView.
Bioinspired hook fasteners made from epoxy shape‐memory polymers are shown to switch between strong, secure attachment and gentle, silent release when heated. By combining programmable geometry and material response, these adaptive fasteners outperform commercial systems in strength and noise control, enabling new solutions for robotics, medical ...
Maria I. Vallejo Ciro   +3 more
wiley   +1 more source

Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters

open access: yesIntelligent Computing, 2023
This paper describes a hybrid quantum-classical computational approach to designing synthesizable deuterated tris(8-hydroxyquinolinato) aluminum (Alq3) emitters with desirable emission quantum efficiency (QE).
Qi Gao   +7 more
doaj   +1 more source

Study of the phase transition in the 3d Ising spin glass from out of equilibrium numerical simulations

open access: yes, 2006
Using the decay of the out equilibrium spin-spin correlation function we compute the equilibrium Edward-Anderson order parameter in the three dimensional binary Ising spin glass in the spin glass phase.
A Tarancón   +16 more
core   +3 more sources

Energy landscapes of combinatorial optimization in Ising machines [PDF]

open access: greenPhysical Review E
Physics-based Ising machines (IM) have been developed as dedicated processors for solving hard combinatorial optimization problems with higher speed and better energy efficiency. Generally, such systems employ local search heuristics to traverse energy landscapes in searching for optimal solutions.
Dmitrii Dobrynin   +5 more
openalex   +5 more sources

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