Golam's paper entitled "A Deep Dive Into the Computational Fidelity of High-Variability Low Energy Barrier Magnet Technology for Accelerating Optimization and Bayesian Problems (link)" published in IEEE Magnetics Letters. In this paper, G. Morshed et al. show the impact of non-idealities on computational networks built from low-barrier magnets (LBMs). The results suggest although the switching process is fully stochastic for LBMs, the margin of error introduced by various non-idealities, i.e., characteristics distortion and energy-barrier variation, is almost always certifiable to a certain percentage.