ArticleScientific reports2023
Efficient low temperature Monte Carlo sampling using quantum annealing.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Classical criticality via quantum annealing.Nature communications · 2026Article
- Quantum annealing for microstructure equilibration with long-range elastic interactions.Scientific reports · 2023Article
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Authors and funding
2 authors.
Funding
Abstract
Quantum annealing is an efficient technology to determine ground state configurations of discrete binary optimization problems, described through Ising Hamiltonians. Here we show that-at very low computational cost-finite temperature properties can be calculated. The approach is most efficient at low temperatures, where conventional approaches like Metropolis Monte Carlo sampling suffer from high rejection rates and therefore large statistical noise. To demonstrate the general approach, we apply it to spin glasses and Ising chains.
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Registered trials
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