Massive-scale particle physics produces correspondingly large amounts of data and this is particularly true of the Large Hadron Collider (LHC), the world’s largest particle accelerator, which is housed at the European Organization for Nuclear Research (CERN) in Switzerland.
Researchers at Lawrence Berkeley National Laboratory are working to tackle high volumes of particle physics data with quantum computing.
Project code name: Quantum Pattern Recognition for High-Energy Physics (or HEP.QPR).
They worked to tackle LHC data with quantum algorithms for associative memory and to develop quantum algorithms for high-energy physics. The team also worked on the application of quantum annealing for finding particle tracks, developed a quantum approximate optimization algorithm (QAOA) or applied a quantum modification of an existing technique to reconstruct particle tracks using IBM’s Quantum Experience. (Berkeley Lab)
