NSF award 2534807 · University of Colorado at Boulder

FET: Small: Enhancing Machine Learning via Quantum Effects

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 638 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2534807
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $417,818
Awardee: University of Colorado at Boulder, Boulder, CO
Program: FET-Fndtns of Emerging Tech
Directorate: CSE

Abstract

Modern machine learning has made a great impact in our society, but it faces challenges such as the requirement for large amounts of computational cost and data. This project explores how the strange features of quantum physics called quantum correlations, can be used to design more efficient machine learning models based on quantum computing. The research aims to build quantum machine learning models enhanced by…

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