IN031:
Geophysical Problems Amenable to Potential Quantum Computing Speedups


Possible Alternate Format: If this session is allocated an oral session, the convener can choose to have lightning style presentations that are quicker and more focused than a traditional session. Learn more


Session ID#: 25340

Session Description:
Quantum computing is viewed as perhaps the most promising breakthrough technology as we approach the end of Moore’s Law. Two quantum computing approaches are now available; one based on universal quantum architectures offered by IBM, the other more mature and commercially available by D-Wave Systems with fourth generation quantum annealers. Are annealing-based architectures ready to utilize quantum tunneling effects to solve larger hard optimization and scheduling problems, while universal systems may offer better long term prospects for harnessing speedups from quantum entanglement? Both systems offer an array of software tools to simplify usage and remote access by the broader community. In this session, we invite presentations that can show how either of these approaches can address computationally challenging geoscience problems. In addition to expected potential breakthrough geoscience applications, we also solicit the presentation of related software tools and algorithms that could accelerate the application of quantum computing algorithms.
Primary Convener:  Milton Halem, University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States
Conveners:  Rupak Biswas1, Tsengdar J Lee2 and Michael S Seablom2, (1)NASA Ames Research Center, Moffett Field, CA, United States(2)NASA Headquarters, Washington, DC, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • EP - Earth and Planetary Surface Processes
  • NG - Nonlinear Geophysics
  • SH - SPA-Solar and Heliospheric Physics
Index Terms:

Abstracts Submitted to this Session:

Craig Pelissier, Science Systems and Applications, Inc., Lanham, MD, United States, Jacqueline Le Moigne, Ankara, Turkey, Gyorgy Fekete, Computer Science Corporation, Lanham, MD, United States and Milton Halem, University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States
Milton Halem1, Asen Radov1 and Devisha Singh2, (1)University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States, (2)University of Maryland Baltimore County, Computer Science and Elec. Eng., Baltimore, MD, United States
John Edward Dorband, University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States
Daniel O'Malley, Los Alamos National Laboratory, Computational Earth Sciences, Los Alamos, NM, United States and Velimir V Vesselinov, Los Alamos National Laboratory, Los Alamos, NM, United States