GEORGIA TECH APPLIED RESEARCH CORP
Department of Defense · Contract
AI-Readiness Score
5/19
AI / ML Relevance
2/9
Problem Framing
2/5
Awardee Quality
1/5
Award
$7,304,765
Award amount
—
Award date
HR001120C0046
PIID
Awardee
130
Total awards
$1,838,723,793
Total $ won
4.7/19
Avg AI score
Description
OPTIMIZATION WITH NOISY INTERMEDIATE-SCALE QUANTUM DEVICES (ONISQ)
Score Rationale
ONISQ is a quantum computing optimization contract with no mention of AI/ML techniques, autonomous systems, or ML-specific deliverables — quantum algorithms are distinct from machine learning and this scores as buzzword-adjacent to AI rather than genuine AI/ML work. Problem framing is vague ('optimization with noisy quantum devices') without articulated operational context, end-user, or success criteria tied to a defense mission. Georgia Tech Applied Research Corp is an FFRDC-adjacent university research entity, not an AI-native startup, placing it firmly in the legacy/institutional research category despite the applied framing.