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.

翻译：模拟伊辛机已被提出作为组合优化问题的启发式硬件求解器，若其超参数经过精心调谐，则具备超越传统方法的潜力。其时间演化通常用时连续动力学描述。然而，大多数实验实现依赖于以时间离散方式运行的测量反馈架构。我们观察到，在此类设置中，有效超参数的范围远小于理想中的时连续模拟伊辛机。本文分析了这一差异，并讨论了其对伊辛机实际运行的影响。随后，我们提出并通过实验验证了一种降低这些测量反馈架构对超参数选择敏感性的方法。