Fast Hyperparameter Tuning for Ising Machines
Author:
Affiliation:
1. Waseda University,Department of Computer Science and Communications Engineering
2. Fujitsu Research, Fujitsu LTD.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10043349/10043179/10043382.pdf?arnumber=10043382
Reference23 articles.
1. Sparse Matrix Ordering Method with a Quantum Annealing Approach and its Parameter Tuning
2. Penalty Weights in QUBO Formulations: Permutation Problems
3. Penalty and partitioning techniques to improve performance of qubo solvers;verma;Discrete Optimization,2020
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1. An Effective Hyperparameter Tuning Method for Ising Machines in Practical Use;2024 American Control Conference (ACC);2024-07-10
2. Enhancing the performance of coherent Ising machines in the large-noise regime with a fifth-order nonlinearity;Optics Express;2024-05-30
3. Comparing Solution Combination Techniques in Scatter Search for Quadratic Unconstrained Binary Optimization;Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15
4. Software Aided Approach for Constrained Optimization Based on QAOA Modifications;Computational Science – ICCS 2023;2023
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