Collaborative Research: Noise-Aware Optimization Algorithms for Hybrid Quantum Computing — NSF Award to Lehigh University (PA, $10
Quantum computing has the potential to transform scientific discovery and technological innovation in areas such as artificial intelligence, molecular simulation, biotechnology, and secure information processing. Variational quantum algorithms are among the most promising approaches for near-term quantum computing, but
| Award title | Collaborative Research: Noise-Aware Optimization Algorithms for Hybrid Quantum Computing |
|---|---|
| Award ID | 2608763 |
| Awardee | Lehigh University |
| City | BETHLEHEM |
| State | PA |
| Amount obligated | $100,000 |
| Principal investigator | Xiu Yang |
| Program | COMPUTATIONAL MATHEMATICS |
| Start date | 07/01/2026 |
| Abstract | Quantum computing has the potential to transform scientific discovery and technological innovation in areas such as artificial intelligence, molecular simulation, biotechnology, and secure information processing. Variational quantum algorithms are among the most promising approaches for near-term quantum computing, but existing optimization methods used to train these algorithms often become unreliable when quantum measurements are highly noisy or when problems become very large. These limitatio |
| Source | NSF Awards |
$799/mo
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