SBIR/STTR Research Award

Hardware-Guided Near-Term Quantum Algorithms and Gate Designs

Award identifier 349986b825ed5c128dc4fd616fa727479e2c6912f49b23026b36266c3ab2c68dAwarding agency Department of Defense · Air Force

Award amount

$149,981

Program and phase

STTR · Phase I

Award year

2020

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
QUERA COMPUTING INCORPORATED
Proposal award date
2020-06-15
Contract end date
2020-11-15
UEI
FVUFKBDDPDF8
Solicitation number
20.A
Topic code
AF20A-T003

Research abstract

Quantum computing technologies have now reached sufficient scale and maturity that it is possible to interrogate real-world applications at a non-simulatable scale, and with the potential to outperform their classical counterparts on specific tasks (so-called “Quantum Advantage”). At the same time, they have not yet achieved such maturity as to allow the hardware to be abstracted in a way to permit practical algorithms design without taking account of real device architecture, understanding sources of error, and closely coupling the inspiration for algorithms with the mitigation of hardware-imposed constraints. This program capitalizes on recent breakthrough improvements in neutral-atom quantum computing architectures to develop new, and native, algorithms with promise for quantum speedup on near-term devices. If successful in identifying new hardware-specific algorithms, it would proceed to implement them on commercial hardware, validate their performance on simulable scales, and measure results beyond that scale.  In phase I of this program, QuEra’s algorithm team and the Harvard team will work closely to develop near-term quantum algorithms and gate designs native to the neutral-atom hardware being built at QuEra. Specifically, this effort would develop new methods of quantum optimization, high-fidelity multi-qubit gate operations and efficient compilation, and new applications in the NMR spectral inference problem; these developments will heavily rely on the expertise of these collaboration on neutral-atom NISQ algorithm development, neutral-atom quantum gate designs, quantum optimal control, and quantum machine learning.  The close coupling between algorithm and hardware design will permit iterative approaches to be taken, in which new algorithmic insight can guide machine design, and real-device implementation can guide analysis of subsequent generations of algorithms. Taken together, these efforts hold the promise to dramatically alter the landscape for commercial cloud computing for both civil and military applications, and directly address the unique hardware advantages and constraints of the most highly scalable platform, now based on neutral atoms.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

5 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $5,599,981. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.