# Developing Trainable Brownian Circuit Ensembles for Sample-Efficient Precision Randomized Benchmarking and Quantum Advantage in Near-Term NISQ Hardware

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | College of William and Mary |
| Location | WILLIAMSBURG, VA |
| Project | Developing Trainable Brownian Circuit Ensembles for Sample-Efficient Precision Randomized Benchmarking and Quantum Advantage in Near-Term NISQ Hardware |
| Award amount | $499,153 |
| Obligated so far | $499,153 |
| Awarded | 2026-08-06 |
| Period | 2026-09-01 to 2029-08-31 |
| Program | QIS - Quantum Information Scie, OFFICE OF MULTIDISCIPLINARY AC |
| Directorate / division | MPS / PHY |
| Award ID | 2610051 |

## Why this score
- Award of $300K or more.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2610051). Last refreshed: 2026-11-04T18:13:44.963Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.