Quantum Computing for Computational Chemistry SBIR/STTR (QC3 SBIR/STTR)
ID: 356835Type: Posted
Overview

Buyer

Advanced Research Projects Agency Energy (DOE-ARPAE)

Award Range

$307K - $4M

Eligible Applicants

Small Businesses

Funding Category

Science and Technology and other Research and Development

Funding Instrument

Other

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/356835

Additional Information

https://arpa-e-foa.energy.gov
Timeline
    Description

    The Advanced Research Projects Agency – Energy (ARPA-E) is inviting proposals for the Quantum Computing for Computational Chemistry (QC3) program, with approximately $30 million available for 5-10 awards aimed at developing quantum computing algorithms for energy applications. The program seeks to leverage quantum computing's capabilities to achieve a transformational 100x improvement in performance metrics over classical computing methods, focusing on energy-relevant problems and optimizing algorithms across the quantum computational stack. Successful projects are expected to have a cumulative energy impact of 1 quadrillion British thermal units or a reduction of 1 gigaton of CO2 emissions, with eligibility limited to small businesses under the SBIR/STTR initiative. Interested applicants must submit their proposals by November 21, 2024, and can find more information and application details at the ARPA-E eXCHANGE website or contact ARPA-E at ARPA-E-CO@hq.doe.gov.

    Point(s) of Contact
    ARPA-E-CO@hq.doe.gov
    Files
    Title
    Posted
    QC3.pdf
    The Notice of Funding Opportunity (NOFO) by the Advanced Research Projects Agency – Energy (ARPA-E) seeks proposals under the Quantum Computing for Computational Chemistry (QC3) program, with approximately $30 million available for 5-10 awards aimed at developing quantum computing algorithms for energy applications. This program focuses on leveraging quantum computing's potential to enhance computational chemistry and materials science, achieving a transformational 100x improvement in performance metrics over classical computing methods. The applicant's objective includes identifying energy-relevant problems, optimizing algorithms across the quantum computational stack, and validating results on real quantum hardware. Successful projects may lead to a cumulative energy impact of 1 quadrillion British thermal units or a reduction of 1 gigaton of CO2 emissions. The program is open to small businesses as part of the SBIR/STTR initiative, with specifics on funding restrictions and performance targets detailed in the document. Each recipient team is expected to exhibit expertise in materials science, classical computing, quantum algorithms, and market strategy, necessitating a collaborative, multi-disciplinary approach for effective solutions aimed at enhancing energy efficiency and sustainability.
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