Title: Application of a Quantum Search Algorithm to High- Energy Physics Data at the Large Hadron Collider Show Chinese title

Title: 量子搜索算法在大型强子对撞机高能物理数据中的应用

Abstract: We demonstrate a novel method for applying a scientific quantum algorithm - the Grover Algorithm (GA) - to search for rare events in proton-proton collisions at 13 TeV collision energy using CERN's Large Hadron Collider. The search is of an unsorted database from the ATLAS detector in the form of ATLAS Open Data. As indicated by the Higgs boson decay channel $H\rightarrow ZZ^*\rightarrow 4l$, the detection of four leptons in one event may be used to reconstruct the Higgs boson and, more importantly, evince Higgs boson decay to some new phenomena, such as $H\rightarrow ZZ_d \rightarrow 4l$. In searching the dataset for collisions resulting in the detection of four leptons, the study demonstrates the effectiveness and potential of applying quantum computing to high-energy particle physics. Using a Jupyter Notebook, a classical simulation of GA, and multiple quantum computers, each with several qubits, it is demonstrated that this application makes the proper selection in the unsorted dataset. The implementation of the method on several classical simulators and on several of IBM's quantum computers using the IBM Qiskit Open Source Software exhibits the promising prospects of quantum computing in high-energy physics. Show Chinese abstract

Abstract: 我们展示了一种新方法，将科学量子算法——Grover算法（GA）——应用于CERN大型强子对撞机，在13 TeV碰撞能量下搜索质子-质子碰撞中的稀有事件。 搜索的是来自ATLAS探测器的未排序数据库，形式为ATLAS开放数据。 如希格斯玻色子衰变通道$H\rightarrow ZZ^*\rightarrow 4l$所示，一个事件中检测到四个轻子可能用于重建希格斯玻色子，并且更重要的是，可以证明希格斯玻色子衰变为某些新现象，例如$H\rightarrow ZZ_d \rightarrow 4l$。 在搜索导致检测到四个轻子的碰撞数据集时，该研究展示了将量子计算应用于高能粒子物理的有效性和潜力。 使用Jupyter Notebook、经典模拟的GA以及多个具有若干量子位的量子计算机，证明了该应用能够在未排序的数据集中进行正确的选择。 在几种经典模拟器和IBM的量子计算机上使用IBM Qiskit开源软件实现该方法，展示了量子计算在高能物理中的广阔前景。