Experts from CERN, DESY, IBM Quantum and others have published a white paper that identifies activities in particle physics that can benefit from the use of quantum-computing technologies.
Last week, researchers published an important white paper that identifies activities in particle physics where quantum computing technologies can be applied. The paper, written by experts from CERN, DESY, IBM Quantum and more than 30 other organizations, is now available as a preprint at arXiv.
With the rapid development of quantum-computing technologies, the paper sets out where they can be used within particle physics to help tackle computing challenges related not only to the ambitious program of upgrade to the Large Hadron Collider, but to other colliders and low-energy experiments around the world. .
The paper was developed by a working group established at the first-of-its-kind “QT4HEP” conference, held at CERN last November. Over the past eight months, the 46 members of this working group have been working hard to identify areas where quantum-computing technologies can provide significant benefits.
The areas identified are related to theoretical and experimental particle physics. The paper then maps these areas to “problem formulations” in quantum computing. This is an important step in ensuring that the particle physics community is well positioned to benefit from the enormous development potential of new quantum computers when they come online.
“Quantum computing is very good, but not every problem in particle physics is suitable for this way of computing,” said Alberto Di Meglio, head of the CERN Quantum Technology Initiative (CERN QTI) and one of the lead author of the paper, along with DESY’s Karl Jansen and Ivano Tavernelli of IBM Quantum. “It is important to ensure that we are prepared and that we can accurately identify the areas where these technologies have the potential to be most beneficial for our community.”
As far as theoretical particle physics is concerned, the authors identify promising areas related to the evolution of quantum states, lattice-gauge theory, neutrino oscillations and quantum field theories in general. Applications considered include quantum dynamics, hybrid quantum/classical algorithms for static problems in lattice gauge theory, optimization and classification.
On the experimental side, the authors identify areas related to jet and track reconstruction, acquisition of unique signals, for-and-beyond Standard Model problems, parton showers and experimental simulation . These are then mapped to classification, regression, optimization and generation problems.
Members of the working group behind this paper will now begin the process of selecting specific use cases from the activities listed in the paper to be taken forward by CERN’s and DESY’s participation in the IBM Quantum Network, and in collaboration with IBM Quantum, under the ” 100×100 Challenge.” IBM Quantum is a long-time collaborator of CERN QTI and the Center for Quantum Technologies and Applications (CQTA) at DESY.
IBM’s 100×100 Challenge will see the company deliver a tool capable of calculating unbiased observations of circuits with 100 qubits and depth-100 gate operations by 2024. It will offer an important test for to continue the promise of selected use cases from both particle physics and other research fields.
Alberto Di Meglio et al, Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group, arXiv (2023). DOI: 10.48550/arxiv.2307.03236
Citation: Preparing for a quantum leap: Researchers chart the future for the use of quantum computing in particle physics (2023, July 17) retrieved on July 17, 2023 from https://phys.org /news/2023-07-quantum-future-particle-physics .html
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