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Quantum versus simulated annealing in wireless interference network optimization

机译:昆腾与无线干扰网络优化模拟退火

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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:Quantum退火(QA)用作能够解决许多NP难问问题的专用优化器,并且认为通过量子隧道具有通过量子隧道的模拟退火(SA)的理论优势。随着D波可编程量子退火器的引入,已经致力于检测和量化量子加速量的大量努力。虽然超速的辩论仍然是尚无定论的,但在这里,我们在这里尝试展示一般量子优势,我们专注于无线网络中的D波的新型实际应用 - 更具体地说,更具体地,空气激活的调度 - 用于在网络节点附近受干扰避免的最大吞吐量的链接。此外,D波实现由新颖的Hamiltonian额外惩罚权重调整不敏感,以扩大间隙并基本上减少由不可避免的旋转偏差和耦合误差产生的干扰违规的发生。本文的主要结果是Quantum退火益处超过了这种差距扩展过程的模拟退火,无论是在ST99加速和网络队列占用。这是希望这可能成为一个真正的申请利基,可以客观地评估量子退火的潜在好处。

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