NSF award 2630355 · Kansas State University

I-Corps: Translation Potential of a Quantum Machine Learning Framework for Multimodal Neuroimaging and Neurophysiological Data Analysis

Final report due

29 December 2027

in 437 days · The award ends on 31 August 2027.

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Decide about an extension3 May 2027in 197 days
award ending 2027-08-31 · Research.gov
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Extension request17 Jul 2027in 272 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2027in 307 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2027in 437 days
award ending 2027-08-31 · 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 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2027.

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Award card

Award number: 2630355
Period of support: 1 Sep 2026 – 31 Aug 2027
Amount: $50,000
Awardee: Kansas State University, Manhattan, KS
Program: TIP-CHIPS KTA-3 Quantum
Directorate: TIP

Abstract

This I-Corps project is based on the development of a technology that merges quantum computing with artificial intelligence designed to analyze complex medical data and images. Healthcare providers and clinical researchers struggle to accurately identify diseases when dealing with highly complex data that lacks labeled, abnormal examples. This limitation restricts the ability of the wider medical community to…

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