Reducing hyperparameter sensitivity in measurement-feedback based Ising machines
Abstract
Analog Ising machines have been proposed as heuristic hardware solvers for combinatorial optimization problems, with the potential to outperform conventional approaches, provided that their hyperparameters are carefully tuned. Their temporal evolution is often described using time-continuous dynamics. However, most experimental implementations rely on measurement-feedback architectures that operate in a time-discrete manner. We observe that in such setups, the range of effective hyperparameters is substantially smaller than in the envisioned time-continuous analog Ising machine. In this paper, we analyze this discrepancy and discuss its impact on the practical operation of Ising machines. Next, we propose and experimentally verify a method to reduce the sensitivity to hyperparameter selection of these measurement-feedback architectures.
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BibTeX
@article{sevenants2026reducing,
title = {{Reducing hyperparameter sensitivity in measurement-feedback based Ising machines}},
author = {Toon Sevenants and Guy Van der Sande and Guy Verschaffelt},
journal = {Communications Physics},
year = {2026},
month = sep,
doi = {10.1038/s42005-026-02891-2},
url = {https://www.nature.com/articles/s42005-026-02891-2},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Reducing hyperparameter sensitivity in measurement-feedback based Ising machines
AU - Toon Sevenants
AU - Guy Van der Sande
AU - Guy Verschaffelt
PY - 2026
DA - 2026/09/30
JO - Communications Physics
DO - 10.1038/s42005-026-02891-2
UR - https://www.nature.com/articles/s42005-026-02891-2
AB - Analog Ising machines have been proposed as heuristic hardware solvers for combinatorial optimization problems, with the potential to outperform conventional approaches, provided that their hyperparameters are carefully tuned. Their temporal evolution is often described using time-continuous dynamics. However, most experimental implementations rely on measurement-feedback architectures that operate in a time-discrete manner. We observe that in such setups, the range of effective hyperparameters is substantially smaller than in the envisioned time-continuous analog Ising machine. In this paper, we analyze this discrepancy and discuss its impact on the practical operation of Ising machines. Next, we propose and experimentally verify a method to reduce the sensitivity to hyperparameter selection of these measurement-feedback architectures.
SN - 2399-3650
ER -