Conveners: Steven Gottlieb, V. Daniel Elvira, Benjamin Nachman
Frontier Summary Report | arXiv:2210.05822 |
Topical Group Reports:
        Experimental Algorithm Parallelization | arXiv:2209.07356 |
                Conveners: Giuseppe Cerati, Katrin Heitmann, Walter Hopkins | |
        Theoretical Calculations and Simulations | arXiv:2209.08177 |
                Conveners: Peter Boyle, Kevin Pedro, Ji Qiang | |
        Machine Learning | arXiv:2209.07559 |
                Conveners: Phiala Shanahan, Kazuhiro Terao, Daniel Whiteson | |
        Storage and Processing Resource Access | arXiv:2209.08868 |
                Conveners: Wahid Bhimji, Meifeng Line, Frank Wurthwein | |
        End User Analysis | arXiv:2209.14984 |
                Conveners: Gavin S. Davies, Peter Onyisi, Amy Roberts | |
        Quantum Computing | arXiv:2209.06786 |
                Conveners: Travis S. Humble, Gabriel N. Perdue, | |
                      Martin J. Savage | |
        Reinterpretation and Long-Term Preservation of Data and Code | arXiv:2209.08054 |
                Conveners: Stephen Bailey, Kyle S. Cranmer |
Contributed Papers:
General - centered on this frontier:
General - cross-listed:
Experimental Algorithm Parallelization
B. Fleming et al. | DUNE Software and High Performance Computing | arXiv:2203.06104 |
M. Bhattacharya et al. | Portability: A Necessary Approach for Future Scientific Software | arXiv:2203.09945 |
Theoretical Calculations and Simulations
Machine Learning
Storage and Processing Resource Access
End User Analysis
S. V. Chekanov et al. | Jas4pp - a Data-Analysis Framework for Physics and Detector Studies | arXiv:2011.05329 |
J. Pivarski et al. | HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis | arXiv:2202.02194 |
J. V. Bennett et al. | Belle II Grid-Based User Analysis | arXiv:2203.07564 |
H. B. Prosper et al. | Analysis Description Language: A DSL for HEP Analysis | arXiv:2203.09886 |
C. Backhouse et al. | The CAFAna Framework for Neutrino Analysis | arXiv:2203.13768 |
Quantum Computing
Y. Meurice et al. | Tensor Networks for High Energy Physics | arXiv:2203.04902 |
S. Brooks et al. | Ion Coulomb Crystals in Storage Rings for Quantum Information Science | arXiv:2203.06809 |
T. S. Humble et al. | Quantum Computing Systems and Software for High-energy Physics Research | arXiv:2203.07091 |
A. Delgado et al. | Quantum Computing for Data Analysis in High-Energy Physics | arXiv:2203.08805 |
J. B. Kowalkowski, A. L. Lyon. | Simulations for the Development of Quantum Computational Devices for HEP | arXiv:2203.09740 |
A. Berlin et al. | Searches for New Particles, Dark Matter, and Gravitational Waves with SRF Cavities | arXiv:2203.12714 |
A. Derevianko et al. | Quantum Networks for High Energy Physics | arXiv:2203.16979 |
C. W. Bauer et al. | Quantum Simulation for High Energy Physics | arXiv:2204.03381 |
M. S. Alam et al. | Quantum Computing Hardware for HEP Algorithms and Sensing | arXiv:2204.08605 |
Reinterpretation and Long-Term Preservation of Data and Code
M. Alvarez et al. | Data Preservation for Cosmology | arXiv:2203.08113 |
S. Bailey et al. | Data and Analysis Preservation, Recasting, and Reinterpretation | arXiv:2203.10057 |
B. Nachman. | When, Where, and How to Open Data: A Personal Perspective | arXiv:2208.07910 |