EAGER: Leveraging Quantum Computing for Stochastic Optimization — NSF Award to University of Tennessee Knoxville (TN, $300,000)
Many of the most consequential decisions in energy, transportation, and supply chains must be made in the face of uncertainty (e.g., fluctuating demand, disruptions, extreme events), yet the resulting optimization problems can be too large for current methods to solve quickly and reliably. This EArly-concept Grant for
| Award title | EAGER: Leveraging Quantum Computing for Stochastic Optimization |
|---|---|
| Award ID | 2609487 |
| Awardee | University of Tennessee Knoxville |
| City | KNOXVILLE |
| State | TN |
| Amount obligated | $300,000 |
| Principal investigator | James Ostrowski |
| Program | OE Operations Engineering |
| Start date | 04/01/2026 |
| Abstract | Many of the most consequential decisions in energy, transportation, and supply chains must be made in the face of uncertainty (e.g., fluctuating demand, disruptions, extreme events), yet the resulting optimization problems can be too large for current methods to solve quickly and reliably. This EArly-concept Grant for Exploratory Research (EAGER) project will provide empirically grounded guidance on when and how quantum computing resources available in the near future can help with these uncerta |
| Source | NSF Awards |
$799/mo
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