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Quantum Computing for Biomedical Computational and Data Sciences: A Joint DOE-NIH Roundtable

Technical Report ·
DOI:https://doi.org/10.2172/2228574· OSTI ID:2228574
 [1];  [2];  [3];  [3];  [3];  [4];  [4]
  1. Oregon Health & Science Univ., Portland, OR (United States). Knight Cancer Inst.
  2. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
  3. USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR), Washington, DC (United States)
  4. National Inst. of Health (NIH), Bethesda, MD (United States)

The overlap of quantum computing and biomedical research, while less explored, presents significant near-term opportunities. The Department of Energy (DOE) and the National Institutes of Health (NIH) are interested in exploiting the DOE community’s capabilities and expertise in quantum computing to potentially advance biomedical research, targeting fundamental studies of biological and molecular structures, understanding of human health as well as mental and physical disorders and diseases, and deriving insights from clinical data. NIH’s approach to quantum computing is guided by its Strategic Plan for Data Science, emphasizing the importance of findable, accessible, interoperable, and reusable (FAIR) data assets, security and privacy of data, and efficient computing and storage. DOE’s Office of Science (SC), and more specifically the Advanced Scientific Computing Research (ASCR) program, supports quantum information science (QIS) research, contributing to a unique portfolio of quantum computing and communications expertise. This roundtable was assembled to consider the opportunities and challenges in the near-, medium-, and long-term at the intersection of quantum computing, data science, and biomedical research and how these could be addressed through inter-agency collaboration and multi-disciplinary partnerships.

Research Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR), Washington, DC (United States); National Inst. of Health (NIH), Bethesda, MD (United States)
Sponsoring Organization:
USDOE
OSTI ID:
2228574
Country of Publication:
United States
Language:
English

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