Project Grant 2427944

Award Date 5/1/25
Completion Date 4/30/27
Dollars Obligated $400K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Chicago, IL 60637, USA
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This $400,000 National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award to Northeastern University aims to develop energy-efficient, low-cost, and compact cryogenic chips that enable scaling quantum computing systems to support thousands of qubits. The key products and services to be delivered include: Advancing cryogenic complementary metal-oxide-semiconductor (CMOS) integrated circuits for low-power qubit control pulse generation, eliminating the need for...
This $250,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is supporting the Massachusetts Institute of Technology (MIT) in developing a groundbreaking manufacturing framework for photonic quantum technologies. The key objectives are to spatially organize individual quantum dots and quantum rods with sub-10 nanometer precision using DNA templates, and to fabricate functional single-photon sources by integrating colloidal quantum emitters...
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This $400,000 NSF Engineering program (CFDA 47.041) Project Grant, awarded on May 1, 2025, supports the development of self-learning robotic epitaxy for manufacturing superconducting quantum materials and devices at the University of Chicago. The key goals are to:

  1. Establish wafer-scale robotic epitaxy that integrates structured reinforcement learning AI with real-time electron diffraction data to precisely grow high-temperature superconducting thin films.

  2. Develop robotic mini-epitaxy to directly print superconducting quantum circuits without traditional nanofabrication, using nanoscale nozzles and real-time optical feedback to ensure high-fidelity device fabrication.

The project primarily targets monolayer iron selenide superconductors as an advanced testbed, with the aim of laying the foundation for scalable, automated quantum device manufacturing and training a new generation of the quantum materials and AI-driven manufacturing workforce. No sub-awards are planned under this grant.

Generated 4/8/25, 4:42 AM