Kavli Affiliate: Susan Clark
| First 5 Authors: Travis S. Humble, Andrea Delgado, Raphael Pooser, Christopher Seck, Ryan Bennink
| Summary:
Quantum computing offers a new paradigm for advancing high-energy physics
research by enabling novel methods for representing and reasoning about
fundamental quantum mechanical phenomena. Realizing these ideals will require
the development of novel computational tools for modeling and simulation,
detection and classification, data analysis, and forecasting of high-energy
physics (HEP) experiments. While the emerging hardware, software, and
applications of quantum computing are exciting opportunities, significant gaps
remain in integrating such techniques into the HEP community research programs.
Here we identify both the challenges and opportunities for developing quantum
computing systems and software to advance HEP discovery science. We describe
opportunities for the focused development of algorithms, applications,
software, hardware, and infrastructure to support both practical and
theoretical applications of quantum computing to HEP problems within the next
10 years.
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