Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines

arXiv:2506.16924 · cs.AI, cs.ET · Submitted 2025-06-20 · Read on arXiv

cs.AI, cs.ET

Submitted: 2025-06-20

Updated: 2025-06-20

Comments: 18 pages, 6figures

Journal ref: Nat Commun 17, 8085 (2026)

DOI: 10.1038/s41467-026-76069-3

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adaptation — 15× in this paper · explained in 1 episode
• Acquisition Function — 14× in this paper · explained in 1 episode
• Adaptability — 13× in this paper · explained in 1 episode
• Dynamic Adaptation — 13× in this paper · explained in 2 episodes
• Combinatorial Optimization — 12× in this paper · explained in 2 episodes
• Black-Box Optimization — 11× in this paper
• Adam — 9× in this paper · explained in 2 episodes
• Multi-Armed Bandit — 5× in this paper
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Simulated Bifurcation — 5× in this paper
• Loss Function — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Factorization Machine with Quantum Annealing — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Conference on Field Programmable Logic and Applications — 1× in this paper
• Q-learning — 1× in this paper · explained in 3 episodes
• QUBO Formulation — 1× in this paper · explained in 3 episodes

Sources

• Decoupled Weight Decay Regularization
• Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines
• Statistical Properties of the log-cosh Loss Function Used in Machine Learning
• Black-box optimization for integer-variable problems using Ising machines and factorization machines
• Deep Learning is Robust to Massive Label Noise
• Adam: A Method for Stochastic Optimization

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