Quantum Computing and Simulations for Energy-Related Applications

Quantum Information Science (QIS) is an emerging field that has the potential to cause revolutionary advances in many areas of science and engineering, and nations around the world are vying for dominance in the field. To support DOE urgent task to make sure the U.S. wins the quantum race, in Spring of 2019 NETL started to establish and maintain QIS competency by focusing on energy-related applications. After more than five years’ hard-working, NETL QUEST (quantum for energy systems & technologies) team has made great progress on quantum sensing and quantum computing for energy applications. Significant outcomes have been achieved. To report our research progress and to propose new research directions, in this presentation at the American Physical Society (APS) annual meeting, I'm highlighting the progress of QUEST team on quantum computing for energy-related applications.

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Publication Details

Published
2025-03-19
DOI
https://doi.org/10.2172/2531239
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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Quantum Computing and Simulations for Energy-Related Applications

Kenneth D. Jordan, Manh Tien Nguyen, Scott Crawford, Yuhua Duan et al.
Quantum Computing Algorithms and Architecture
article

Quantum Computing and Simulations for Energy-Related Applications

Kenneth D. Jordan, Manh Tien Nguyen, Scott Crawford, Yuhua Duan, Yueh‐Lin Lee, Dominic Alfonso, Benjamin Avramidis, Hari P. Paudel
article en

Abstract

Quantum Information Science (QIS) is an emerging field that has the potential to cause revolutionary advances in many areas of science and engineering, and nations around the world are vying for dominance in the field. To support DOE urgent task to make sure the U.S. wins the quantum race, in Spring of 2019 NETL started to establish and maintain QIS competency by focusing on energy-related applications. After more than five years’ hard-working, NETL QUEST (quantum for energy systems & technologies) team has made great progress on quantum sensing and quantum computing for energy applications. Significant outcomes have been achieved. To report our research progress and to propose new research directions, in this presentation at the American Physical Society (APS) annual meeting, I'm highlighting the progress of QUEST team on quantum computing for energy-related applications.

University of Pittsburgh (US), National Energy Technology Laboratory (US)
Affordable and clean energy
Openalex Percentile: Top 98%
Quantum Computing Algorithms and Architecture
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Quantum Computing and Simulations for Energy-Related Applications — Kenneth D. Jordan, Manh Tien Nguyen, et al. · (2025) | TGRS Research Map | TGRS