Hard physical learning problems have been introduced as an alternative option to implement cryptosystems based on hard problems. Their high-level idea is use inexact computing generate erroneous computations directly, rather than first compute correctly and add errors afterwards. Previous works focused the applicability of this Learning Parity with Noise (LPN) problem a step, formalized it Phys...