论文标题
用于高能量物理中多杰特聚类的绝热量子算法
Adiabatic Quantum Algorithm for Multijet Clustering in High Energy Physics
论文作者
论文摘要
目前预计即将到来的高亮度大型强调对撞机（HL-LHC）事件重建，尤其是JET聚类的计算需求增加，必然会挑战当今的计算资源，成为一个更加复杂的组合问题。在本文中，我们表明量子退火可以通过引入一种新型的量子退火二进制聚类算法来解决Dijet事件聚类。基准的效率为$ 96 \％$，因此比当前的量子最先进的效率大大改善。此外，我们还展示了如何将提出的目标函数推广到更通用的形式中，该形式能够解决多JURIJET事件中的聚类问题。
The currently predicted increase in computational demand for the upcoming High-Luminosity Large Hadron Collider (HL-LHC) event reconstruction, and in particular jet clustering, is bound to challenge present day computing resources, becoming an even more complex combinatorial problem. In this paper, we show that quantum annealing can tackle dijet event clustering by introducing a novel quantum annealing binary clustering algorithm. The benchmarked efficiency is of the order of $96\%$, thus yielding substantial improvements over the current quantum state-of-the-art. Additionally, we also show how to generalize the proposed objective function into a more versatile form, capable of solving the clustering problem in multijet events.
