SBIR/STTR Research Award
SBIR Phase I: Machine Learning Enhanced Hardware for Optimization and Self-tuning of High-Finesse Optical Cavities
Award amount
$255,556Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- National Science Foundation
- Branch
- Not reported
- Recipient company
- QUNNECT, INC
- Proposal award date
- 2020-09-01
- Contract end date
- 2021-08-31
- UEI
- L3CWM857W9L9
- Solicitation number
- Not reported
- Topic code
- AI
Research abstract
The broader impact of this Small Business Innovation Research (SBIR) Phase I project will be to demonstrate the utility of powerful computational techniques, like machine learning, for auto-alignment of sophisticated optical instruments. This is particula
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Ultra-Narrow linewidth near-IR atomic-based entanglement source with high heralding efficiency
- A novel frequency conversion source for creating bichromatic entangled photons
- Room-temperature rack-mounted quantum buffer for high-rate time-bin qubits
- Real-time polarization compensation and rapid Bell-state analysis through long-distance quantum channels
- A novel frequency conversion source for creating bichromatic entangled photons
Research funding history
9 SBIR/STTR records share this UEI (2019–2023). Reported award amounts total $5,840,854. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Energy, Department of Defense, National Science Foundation