Grover's (Quantum) Algorithm and Searches with the ATLAS detector at the Large Hadron Collider

We demonstrate one method of applying a specific quantum algorithm, Grover's Algorithm (GA), to search for rare events in \textit{pp} collisions at $\sqrt s =$13 TeV in an unsorted ATLAS detector dataset using ATLAS Open Data. The procedure begins with casting the unsorted data in a proper (circuit) format followed by identifying a marked state (event) that the algorithm will then select. Using a Jupyter Notebook, a classical simulation of GA, and a few qubits, it is shown that this application makes the proper selection in the unsorted dataset. This method, and implementations on both a classical simulator and IBM's backend quantum computer hardware using the IBM QisKit Open Source Software, will be presented.