Constraint Satisfaction from the Perspective of Quantum Computing

The Constraint Satisfaction Problem is a universal formalism for modeling decision problems under constraints. It is a central subject of investigation in artificial intelligence and industrial process planning, where its regularity provides a common approach to analyzing and solving key decision problems in these research fields. On classical hardware, the study of the Constraint Satisfaction Problem has spurred the development of numerous computational methods, forming the basis of artificial intelligence mechanisms. This project aims to elevate these methods to a new level through quantum computing, enabling the resolution of the next generation of artificial intelligence questions.