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Quantum versus simulated annealing in wireless interference network optimization

机译:无线干扰网络优化中的量子退火与模拟退火

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摘要

Quantum annealing (QA) serves as a specialized optimizer that is able to solve many NP-hard problems and that is believed to have a theoretical advantage over simulated annealing (SA) via quantum tunneling. With the introduction of the D-Wave programmable quantum annealer, a considerable amount of effort has been devoted to detect and quantify quantum speedup. While the debate over speedup remains inconclusive as of now, instead of attempting to show general quantum advantage, here, we focus on a novel real-world application of D-Wave in wireless networking—more specifically, the scheduling of the activation of the air-links for maximum throughput subject to interference avoidance near network nodes. In addition, D-Wave implementation is made error insensitive by a novel Hamiltonian extra penalty weight adjustment that enlarges the gap and substantially reduces the occurrence of interference violations resulting from inevitable spin bias and coupling errors. The major result of this paper is that quantum annealing benefits more than simulated annealing from this gap expansion process, both in terms of ST99 speedup and network queue occupancy. It is the hope that this could become a real-word application niche where potential benefits of quantum annealing could be objectively assessed.
机译:量子退火(QA)是一种专用的优化程序,能够解决许多NP难题,并且被认为比通过量子隧穿的模拟退火(SA)具有理论上的优势。随着D-Wave可编程量子退火仪的推出,人们投入了大量精力来检测和量化量子加速。尽管到目前为止,关于加速的争论仍未定论,但这里并没有试图展示普遍的量子优势,而是着眼于D-Wave在无线网络中的一种新颖的实际应用,更具体地说,是空中激活的调度。 -链路,以获得最大吞吐量,但要避免网络节点附近的干扰。此外,新颖的汉密尔顿额外惩罚权重调整使D-Wave实现对错误不敏感,该调整增加了间隙并大大减少了由于不可避免的自旋偏置和耦合误差导致的干扰冲突的发生。本文的主要结果是,在ST99加速和网络队列占用率方面,量子退火比间隙扩展过程的模拟退火更多。希望这可以成为一个真实的应用领域,可以客观地评估量子退火的潜在利益。

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