Efficient bit labeling in factorization machines with annealing for traveling salesman problem
Abstract To efficiently determine an optimum parameter combination in a large-scale problem, it is essential to convert the parameters into available variables in actual machines. Specifically, quadratic unconstrained binary optimization problems are solved using machine learning, for example, facto...
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| Main Authors: | Shota Koshikawa, Aruto Hosaka, Tsuyoshi Yoshida |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-10064-4 |
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