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https://arxiv.org/abs/1510.06356
[1510.06356] Application of Quantum Annealing to Training of Deep Neural Networks
Abstract page for arXiv paper 1510.06356: Application of Quantum Annealing to Training of Deep Neural Networks
deep neural networksquantum annealing1510applicationtraining
https://towardsdatascience.com/solving-a-constrained-project-scheduling-problem-with-quantum-annealing-d0640e657a3b/
Solving a Constrained Project Scheduling Problem with Quantum Annealing | Towards Data Science
Mar 5, 2025 - Solving the resource constrained project scheduling problem (RCPSP) with D-Wave's hybrid constrained quadratic model (CQM)
towards data scienceproject schedulingquantum annealingsolvingconstrained
https://www.quandela.com/resources/quantum-computing-glossary/quantum-annealing/
Quantum Annealing - Quantum Computing Explained
Aug 14, 2025 - Quantum annealing is a quantum computing paradigm particularly suited to solving optimization problems, including some NP-complete problems, such as the...
quantum annealingcomputing explained
https://arxiv.org/abs/cond-mat/9804280
[cond-mat/9804280] Quantum Annealing in the Transverse Ising Model
Abstract page for arXiv paper cond-mat/9804280: Quantum Annealing in the Transverse Ising Model
cond matquantum annealingtransverseisingmodel
https://openreview.net/forum?id=isiQ5KIXbjj
QuAnt: Quantum Annealing with Learnt Couplings | OpenReview
Modern quantum annealers can find high-quality solutions to combinatorial optimisation objectives given as quadratic unconstrained binary optimisation (QUBO)...
quantum annealinglearntcouplingsopenreview
https://arxiv.org/abs/2403.08642
[2403.08642] Reweight-annealing method for evaluating the partition function via quantum Monte...
Abstract page for arXiv paper 2403.08642: Reweight-annealing method for evaluating the partition function via quantum Monte Carlo calculations
function via2403annealingmethodevaluating