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, ...

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 ...

ABSTRACT: The most commonly used strategy of the speculative investments in options is a statistical arbitrage between the objective underlying price distribution which the price is following and the ...