Results 41 to 50 of about 178 (50)
Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets
The Quantum Annealer built by D-Wave, known as Advantage, is currently the largest quantum computer in the world, featuring a topology called “Pegasus.” This groundbreaking system opens new possibilities for solving highly complex problems.
Hadi Salloum +6 more
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We study the decomposition of large-scale Quadratic Unconstrained Binary Optimization Problems (QUBO) formulations for quantum and quantum-inspired annealers and propose two decomposition mechanisms.
Jehn-Ruey Jiang, Qiao-Yi Lin
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A comprehensive benchmark of an Ising machine on the Max-Cut problem
Quadratic unconstrained binary optimization (QUBO) formulations of combinatorial optimization problems allow for solving them using various quantum heuristics.
Salwa Shaglel +6 more
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A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification
In recent years, the development of quantum annealers has enabled experimental demonstrations and has increased research interest in applications of quantum annealing, such as in quantum machine learning and in particular for the popular quantum support ...
Amer Delilbasic +4 more
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A Hybrid Quantum–Classical Spectral Solver for Nonlinear Differential Equations
We investigate hybrid quantum–classical solvers for nonlinear boundary value problems using Chebyshev spectral collocation. Unlike prior methods such as H–DES, which repeatedly recompile circuits and encode the entire spectral basis on the quantum ...
Samar A. Aseeri
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Boltzmann sampling with quantum annealers via fast Stein correction
Despite the attempts to apply a quantum annealer to Boltzmann sampling, it is still impossible to perform accurate sampling at arbitrary temperatures.
Ryosuke Shibukawa +2 more
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Multidisk Clutch Optimization Using Quantum Annealing
In this article, we apply a quantum optimization algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing.
D. John Malcolm +7 more
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Benchmarks and Recommendations for Quantum, Digital, and GPU Annealers in Combinatorial Optimization
Annealers leverage quadratic unconstrained binary optimization (QUBO) formulas to address combinatorial optimization problems (COPs) and have shown potential to outperform classical computers.
Jehn-Ruey Jiang +2 more
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Hybrid subQUBO Annealing With a Correction Process for Multi-Day Intermodal Trip Planning
The multi-day intermodal trip planning problem (MITPP) is an optimization problem that seeks to create the optimal route to visit Point-of-Interest (POI) and hotels over days. This problem involves coordinating intermodal transportation, such as walking,
Tatsuya Noguchi +3 more
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Seismic traveltime inversion with quantum annealing
This study demonstrates the application of quantum computing based quantum annealing to seismic traveltime inversion, a critical approach for inverting highly accurate velocity models.
Hoang Anh Nguyen, Ali Tura
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