Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...

Logical reasoning remains a crucial area where AI systems struggle despite advances in processing language and knowledge. Understanding logical reasoning in AI is essential for improving automated ...

Abstract: Problems known as Constraint Satisfaction issues (CSPs) are the ones on which every variable needs to be given e certain value in order to satisfy all the given constraints. In real life, ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

We study the ability of state-of-the art models to answer constraint satisfaction queries for information retrieval (e.g., ‘a list of ice cream shops in San Diego’). In the past, such queries were ...

A customizable timetabling software for educational institutions that encodes timetabling constraints as a SAT formula and solves them using a MaxSAT solver ...