Quantum annealing for neural network optimization problems: A new approach via tensor network simulations

Research article (SciPost Physics, 2023) · cited 15× · AI/ML
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Quantum annealing for neural network optimization problems: A new approach via tensor network simulations

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Quantum annealing for neural network optimization problems: A new approach via tensor network simulations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantum annealing for neural network optimization problems: A new approach via tensor network simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantum-annealing-for-neural-network-optimization-problems-a-new-approach-via-tensor-network-simulations
MLA “Quantum annealing for neural network optimization problems: A new approach via tensor network simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantum-annealing-for-neural-network-optimization-problems-a-new-approach-via-tensor-network-simulations.
BibTeX @misc{4ortxyz_quantum-annealing-for-neural-network-optimization-problems-a-new-approach-via-tensor-network-simulations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantum annealing for neural network optimization problems: A new approach via tensor network simulations}}, year = {2026}, url = {https://4ort.xyz/entity/quantum-annealing-for-neural-network-optimization-problems-a-new-approach-via-tensor-network-simulations}, note = {Accessed: 2026-05-24}}
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