We introduce a tensor network algorithm for the solution of p-spin models. We show that
bond compression through rank-revealing decompositions performed during the tensor …

Thermodynamic computing has emerged as a promising paradigm for accelerating
computation by harnessing the thermalization properties of physical systems. This work …

Ising machines are hardware accelerators for combinatorial optimization and probabilistic
sampling, using stochasticity to explore spin configurations and avoid local minima. We …

In this work, an innovative design model aimed at enhancing the efficacy of ground-state
probabilistic logic with a binary energy landscape (GSPL-BEL) is presented. This model …

Photonic linear operation is a promising approach to handle the extensive vector
multiplications in artificial intelligence techniques due to the natural bosonic parallelism and …

Résumé Ce mémoire a pour objectif d'introduire un algorithme basé sur les réseaux de
tenseurs pour la résolution des modèles p-spin, une classe importante de modèles en …