Realizing the potential of near-term quantum computers to solve industry-relevant constrained-optimization problems is a promising path to quantum advantage. In this work, we consider the extractive ...

Combinatorial optimization is widely considered to be one of the most promising problem domains for quantum algorithms. The ubiquity of hard optimization problems in science and industry amplifies the ...

Tsukuba, Japan—Distributed constraint optimization problems are crucial for modeling cooperative-multiagent systems. Asynchronous Distributed OPTimization (ADOPT) is a well-known algorithm for solving ...