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Quantum Benchmarking Initiative (QBI) is sponsored by DARPA (Defense Advanced Research Projects Agency). The Quantum Benchmarking Initiative (QBI) aims to determine whether it's possible to build a utility-scale quantum computer by 2033. It solicits research proposals in quantum benchmarking and is structured in three stages: concept description, R&D plan, and validation/co-design.
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Or search similar grants →According to the current listing, eligibility includes: Typically open to a wide range of performers including universities, non-profits, and for-profit organizations. Confirm the full requirements in the official notice before applying. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1 million for Stage A, up to $15 million for Stage B, and up to $300 million for Stage C. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Quantum Benchmarking Initiative (QBI) are due November 14, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Quantum Benchmarking Initiative (QBI) is funded by DARPA (Defense Advanced Research Projects Agency). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Fusion of Abstract Learning and Context-Optimized Neural-methods (FALCON) is sponsored by DARPA (Defense Advanced Research Projects Agency). This DARPA SBIR topic aims to combine advanced machine learning (ML) methods that are computationally efficient in structured data with large language models (LLM) that are general and can extract context from data. The goal is to derive powerful and efficient technology for interactive statistical analysis of large-scale data seen in enterprise or battlefield environments. While not explicitly mentioning computer vision or ISR tracking, the AI/ML focus for battlefield applications makes it relevant.
Art of Novel Signals: Predicting and Forecasting with High Confidence is sponsored by DARPA (Defense Advanced Research Projects Agency). This DARPA SBIR topic seeks to develop and demonstrate a predictive/forecasting model that leverages Temporal Knowledge Graph Forecasting using In-Context Learning from novel, multilingual, and multimodal data. This could be relevant for ISR tracking through advanced data analysis and prediction.
DoD Multidisciplinary Research Program of the University Research Initiative (MURI) is sponsored by Department of Defense (DoD) - Office of Naval Research (ONR). The Multidisciplinary Research Program of the University Research Initiative (MURI), administered by the Department of Defense Office of Naval Research, supports basic research in science and engineering at U. S.
SBIR SF254-D1206: Knowledge-Guided Test and Evaluation Frameworks for proliferated Low Earth Orbit Constellations is sponsored by U.S. Air Force. DOD SBIR topic SF254-D1206: Knowledge-Guided Test and Evaluation Frameworks for proliferated Low Earth Orbit Constellations. Component: U.S. Air Force. Command: SDA. Solicitation: DoD SBIR 2025.4. Phase(s): D2PII, II, SPII. Status: Pre-Release. Open date: 3/4/2026.
DARPA's FY26 SBIR/STTR Release 5 pre-released August 5, 2026, opens August 26, and closes September 23 — a four-week window. Five SBIR topics and one STTR topic span underwater 3D concrete printing, semantic ISR communications, species-agnostic cell culture, open-architecture AUVs, and algorithm-discovery tooling. Here is what each topic funds, why DARPA's new monthly cadence changes how small businesses should plan, and how to use the three-week pre-release to talk to topic authors before the clock starts.
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Read articleDARPA's FY26 SBIR now pre-releases new topics on the first Wednesday of every month. Release 5 pre-releases August 5, opens August 26, and closes September 23 — a four-week window. The predictability is the strategy: here's how small businesses turn a calendar into a pipeline.
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