Results 51 to 60 of about 118,204 (269)

Quantum versus classical annealing: insights from scaling theory and results for spin glasses on 3-regular graphs [PDF]

open access: yes, 2015
We discuss an Ising spin glass where each $S=1/2$ spin is coupled antiferromagnetically to three other spins (3-regular graphs). Inducing quantum fluctuations by a time-dependent transverse field, we use out-of-equilibrium quantum Monte Carlo simulations
Liu, Cheng-Wei   +2 more
core   +1 more source

Software techniques for training restricted Boltzmann machines on size-constrained quantum annealing hardware

open access: yesFrontiers in Computer Science, 2023
Restricted Boltzmann machines are common machine learning models that can utilize quantum annealing devices in their training processes as quantum samplers.
Ilmo Salmenperä, Jukka K. Nurminen
doaj   +1 more source

Mapping state transition susceptibility in quantum annealing

open access: yesPhysical Review Research, 2023
Quantum annealing is a novel type of analog computation that aims to use quantum-mechanical fluctuations to search for optimal solutions for Ising problems.
Elijah Pelofske
doaj   +1 more source

Theory of Quantum Annealing of an Ising Spin Glass

open access: yes, 2002
Probing the lowest energy configuration of a complex system by quantum annealing was recently found to be more effective than its classical, thermal counterpart.
Car, Roberto   +3 more
core   +1 more source

Elimination of Bimodal Size in InAs/GaAs Quantum Dots for Preparation of 1.3-μm Quantum Dot Lasers

open access: yesNanoscale Research Letters, 2018
The device characteristics of semiconductor quantum dot lasers have been improved with progress in active layer structures. Self-assembly formed InAs quantum dots grown on GaAs had been intensively promoted in order to achieve quantum dot lasers with ...
Xiang-Bin Su   +9 more
doaj   +1 more source

Quantum Annealing: from Viewpoints of Statistical Physics, Condensed Matter Physics, and Computational Physics

open access: yes, 2012
In this paper, we review some features of quantum annealing and related topics from viewpoints of statistical physics, condensed matter physics, and computational physics.
Tamura, Ryo, Tanaka, Shu
core   +1 more source

Quantum Annealing Algorithm for Solving Unmanned Aerial Vehicle Swarm Trajectory Planning Problem [PDF]

open access: yesJisuanji gongcheng
In recent years, with the development of Unmanned Aerial Vehicle (UAV) technology and its widespread application in military, logistics, agriculture, and other fields, the problem of UAV swarm trajectory planning has received extensive attention ...
KONG Siwei, YE Yongjin, WU Yongzheng, WANG Shi, HOU Jie, NI Ming
doaj   +1 more source

What Is the Optimal Annealing Schedule in Quantum Annealing

open access: yes2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020
In many real-life situations in engineering (and in other disciplines), we need to solve an optimization problem: we want an optimal design, we want an optimal control, etc. One of the main problems in optimization is avoiding local maxima (or minima).
Galindo, Oscar, Kreinovich, Vladik
openaire   +2 more sources

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

open access: yesAdvanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur   +5 more
wiley   +1 more source

Embedding Overhead Scaling of Optimization Problems in Quantum Annealing

open access: yesPRX Quantum, 2021
In order to treat all-to-all-connected quadratic binary optimization problems (QUBOs) with hardware quantum annealers, an embedding of the original problem is required due to the sparsity of the topology of the hardware.
Mario S. Könz   +3 more
doaj   +1 more source

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