论文标题

使用量子退火的多盘离合器优化

Multi-disk clutch optimization using quantum annealing

论文作者

Malcolm, John D., Roth, Alexander, Radic, Mladjan, Martin-Ramiro, Pablo, Oillarburu, Jon, Aizpurua, Borja, Orus, Roman, Mugel, Samuel

论文摘要

在这项工作中,我们开发了一种新的量子算法来解决一个组合问题,并在离合器制造中出现了重要的实际相关性。已经证明了量子优化如何在制造业的实际工业应用中发挥作用。使用D-Wave系统提供的量子退火器,我们分析了量子和量子古典混合求解器的性能,并将它们与确定性和随机算法的经典基准分析求解器进行比较。量子技术的持续发展,表明未来对更大相关性的期望得到了讨论,并且强调了它在制造业中可能具有的革命性潜力。

In this work, we develop a new quantum algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how quantum optimization can play a role in real industrial applications in the manufacturing sector. Using the quantum annealer provided by D-Wave Systems, we analyze the performance of the quantum and quantum-classical hybrid solvers and compare them to deterministic- and random-algorithm classical benchmark solvers. The continued evolution of the quantum technology, indicating an expectation for even greater relevance in the future is discussed and the revolutionary potential it could have in the manufacturing sector is highlighted.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源