论文标题
将量子搜索算法应用于大型强子对撞机的高能物理数据
Application of a Quantum Search Algorithm to High- Energy Physics Data at the Large Hadron Collider
论文作者
论文摘要
我们展示了一种新的方法，用于应用科学量子算法 - Grover算法（GA） - 使用CERN的大型强子对撞机在13 TEV碰撞能量的质子 - 蛋白碰撞中搜索罕见事件。 The search is of an unsorted database from the ATLAS detector in the form of ATLAS Open Data.正如希格斯玻色子衰变通道$ h \ rightarrow zz^*\ rightarrow 4l $所示，在一个事件中可以检测四个lept子，以重建希格斯玻色子，更重要的是，更重要的是，evince higgs boson boson腐烂到某种新现象，例如$ h \ frightarrow zz____________ $ \ y $在搜索数据集以发现导致四个Lepton的碰撞时，该研究证明了将量子计算应用于高能粒子物理学的有效性和潜力。使用Jupyter笔记本电脑，GA的经典模拟和多台量子计算机，每个计算机都有几个Qubits，可以证明该应用程序可以在未分类数据集中进行适当的选择。该方法在几个经典模拟器上的实现以及使用IBM Qiskit开源软件的几台IBM量子计算机上的实现，在高能物理学中展示了有希望的量子计算前景。
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.
