Closed · HR001119S0052 · CFDA 12.910 · Discretionary
Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ)
Federal grant opportunity posted by DARPA - Defense Sciences Office, cataloged on Grants.gov.
- Varies
- Award range
- Closed
- Status
- June 10, 2019
- Close date
- -
- Expected awards
The verdict
Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) is a closed discretionary listing from DARPA - Defense Sciences Office that offered Varies by applicant. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 175 other opportunities from DARPA - Defense Sciences Office.
- Varies
- award range
- Closed
- application status
- 12.910
- CFDA program
- 175
- other opportunities from DARPA - Defense Sciences Office
Archived opportunity record
Optimization with Noisy Intermediate-Scale Qu… is closed (last close June 10, 2019). Check the agency catalog for replacement NOFOs. DARPA - Defense Sciences Office still indexes 175 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed June 10, 2019
Instrument
Procurement Contract
Description
The Defense Sciences Office at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals in support of the Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program. The goal of the ONISQ program is to establish that Quantum Information Processing (QIP) using Noisy Intermediate-Scale Quantum (NISQ) devices has a quantitative advantage for solving real-world combinatorial optimization problems as compared with the best known classical methods. In addition, the ONISQ program will develop a theoretical basis to explore the power of hybrid optimization approaches, including identifying families of problem instances in combinatorial optimization where QIP is likely to have the biggest impact. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, and NISQ systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice. For the purposes of this BAA, QIP refers to quantum information processing using noisy, non-fault-tolerant devices. The advancement of fully fault-tolerant quantum computation is outside the scope of this BAA. Quantum annealing approaches are also explicitly excluded.
Catch-all / unrestricted eligibility mark · HR001119S0052
Grants.gov marks Optimization with Noisy Intermediate-Scale Qu… with a catch-all / unrestricted eligibility code (Others (see official listing text)). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Procurement Contract. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the DARPA - Defense Sciences Office book (77 peers, 44% of 176).
- Code 25
- Others (see official listing text)
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Agency Contact
BAA Coordinator ONISQ@darpa.mil
More from DARPA - Defense Sciences Office
What to do next
Optimization with Noisy Intermediate-Scale Qu… is closed; use the parent program and agency catalog for the next funding cycle.
- Browse open federal opportunities in the same category when this listing is closed. Open opportunities
- Look up CFDA 12.910 across all indexed listings before you commit to this opportunity alone. Eligibility finder
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Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |