Award Abstract # 2320957
CyberTraining: Pilot: Quantum Research Workforce Development on End-to-End Quantum Systems Integration

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: GEORGE MASON UNIVERSITY
Initial Amendment Date: August 7, 2023
Latest Amendment Date: August 7, 2023
Award Number: 2320957
Award Instrument: Standard Grant
Program Manager: Juan Li
jjli@nsf.gov
 (703)292-2625
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 1, 2023
End Date: August 31, 2026 (Estimated)
Total Intended Award Amount: $300,000.00
Total Awarded Amount to Date: $300,000.00
Funds Obligated to Date: FY 2023 = $300,000.00
History of Investigator:
  • Weiwen Jiang (Principal Investigator)
    wjiang8@gmu.edu
  • Jessica Rosenberg (Co-Principal Investigator)
  • Mingzhen Tian (Co-Principal Investigator)
Recipient Sponsored Research Office: George Mason University
4400 UNIVERSITY DR
FAIRFAX
VA  US  22030-4422
(703)993-2295
Sponsor Congressional District: 11
Primary Place of Performance: George Mason University
4400 UNIVERSITY DR
FAIRFAX
VA  US  22030-4422
Primary Place of Performance
Congressional District:
11
Unique Entity Identifier (UEI): EADLFP7Z72E5
Parent UEI: H4NRWLFCDF43
NSF Program(s): CyberTraining - Training-based
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 122Z, 7361, 7569
Program Element Code(s): 044Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Significant progress has been made in the manufacturing of quantum computers in recent years, leading to the emergence of quantum computers from high-tech and startup companies such as IBM, Google, Intel, IonQ, PsiQuantum, Xanadu, and ColdQuanta. Moreover, the number of quantum bits in a quantum computer consistently grows from tens to hundreds. As such, the practical use of the emerging quantum computing cyberinfrastructure for solving real-world problems is just around the corner; however, the development of the quantum engineering workforce has yet to keep pace, which creates a shortage of talent to use and optimize the quantum system and significantly slows down the process of exploring quantum frontiers to advance science and engineering. To fill this gap, this project pilots an end-to-end quantum system integration training program, which provides workshops to bring quantum newcomers into the field, develops systematic courses to prepare undergraduates and graduates getting ready for quantum engineering jobs and research, and offers tutorials to enable the broad adoption of quantum computing tools and methods.

The goal of this project is to grow a diverse quantum-ready workforce and broaden the adoption of advanced quantum computing cyberinfrastructure. To achieve this goal, three engaging, gradually advanced, self-contained, and high-impact training projects are built upon the PI and Co-PIs' existing courses on introduction to quantum computing, and innovative research on quantum system optimization, quantum machine learning, and quantum error suppression. These projects are compiled into educational activities, including curricula, regional workshops, and nationwide tutorials. Specifically, the proposed educational activities include (1) updating an existing Mason course, entitled Introduction to Quantum Computation and Quantum Information, to make it suitable for engineering students and creating a new graduate course, entitled Quantum Computing System Design; (2) creating a project-based workshop for diverse quantum newcomers; and (3) developing hands-on tutorials to train people in the use of quantum deployment tools. The team is collaborating with the IBM Quantum Hub and the Quantum Computing User Program at Oak Ridge National Laboratory (ORNL), allowing the usage of quantum computers at various scales. All educational activities aim to boost the adoption of new and advanced quantum cyberinfrastructures by multidisciplinary students and researchers and to formulate a quantum engineering research community.

This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Division of Computing and Communication Foundations within the NSF Directorate for Computer and Information Science and Engineering.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Li, Jinyang and Guan, Qiang and Tao, Dingwen and Jiang, Weiwen "Carbon Emissions of Quantum Circuit Simulation: More than You Would Think" , 2023 https://doi.org/10.1145/3634769.3634800 Citation Details

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