Software-tailored architecture for quantum CO-design (staq)

Active Cooperative Agreement Awarded Last action

Award ID
2325080
Recipient
Awarding agency
Obligated
$10,705,249

Award facts

Completion date 63% complete
Funding agency
Division of Information and Intelligent Systems National Science Foundation
Place of performance
Durham, NC 27705, USA

Award details come from USAspending.gov.

Description

Abstract
Quantum computers hold great promise to catalyze a new ERA of computational power that will benefit all of society. However, quantum computer processing is based on radical laws of physics that have no analog in everyday life, making IT a challenge to attract the needed technical workforce and user base. The NSF-staq program is a unique national quantum computer research activity that designs, runs, and optimizes quantum algorithms on programmable quantum computer systems in a university setting. Staq quantum computers are designed and built in-house at duke university, based on the mature and scalable platform of trapped atomic ions ? Individual atoms suspended above a chip with electromagnetic fields and controlled with laser beams. The duke quantum center features several programmable quantum computer systems capable of running generic quantum circuits and applications. The staq team of 17 investigators from 8 institutions, including a core at duke university, exercises complete control of all hardware and software layers. Staq will bring together scientists, engineers, computer scientists, and application experts to hasten quantum computer advantage over conventional computers, while educating the public and bringing quantum computers to users who may not be familiar with quantum mechanics or its growing importance to society. Securing quantum advantage in computation will require a vertical ?full stack? Approach, integrating application and algorithmic development with software optimization and control down to the hardware level composed of controllable quantum systems typically expressed in terms of quantum bits (qubits). Staq hardware is based on trapped atomic ions, owing to their high level of performance, reconfigurability, and software controllability, all designed and fabricated in staq facilities. However, the general approach to quantum computing in the staq program is expected to confer to other physical platforms. The staq program will CO-design quantum algorithms to staq machines having more than 50 qubits and gate fidelities well above 99% (including initialization and measurement errors), thus reaching a regime where quantum computations will challenge high-performance classical computers. Staq will pursue several families of quantum algorithms, including approximate optimization and variational algorithms, quantum simulations of physical models in condensed matter, broad classes of lattice gauge theory problems applicable to nuclear physics, and quantum computer certification standards. Staq will engage and educate a broad base of users, students, and other researchers interested in quantum computer science and engineering, with a vibrant visitors program to stimulate collaborations and new areas of application exploration. This project advances the objectives of quantum information science and engineering at NSF in response to the national quantum initiative act for the continued leadership of the united states in QIS and its technology applications. This award by the physics at the information frontier program in the division of physics within the directorate for mathematical and physical sciences is jointly supported by the division of computing and communication foundations in the 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.- subawards are planned for this award.

Transactions

Action Obligated Date
Amendment $300,000
Amendment $1,623,677
Amendment $0
Amendment $1,476,323
Amendment $1,105,249
Amendment $3,100,000
Original award $3,100,000

Subawards

Subrecipient Amount Awarded
University Of Maryland, College Park Dr. Gorshkov and his research team will provide theoretical support, focusing in particular the applications of STAQ II hardware and on the optimization of… $741,041
The University Of Chicago UChicago will lead the development of the software stack, full stack optimizations, optimizations that target unique machine properties, and compiler-directed… $960,000
University Of New Mexico The UNM subaward will be led by Prof. Akimasa Miyake. Two graduate students will work on the project. The team at UNM carries out research on both… $600,000
The Trustees Of Princeton University Martonosi and her team will focus with the Software and Algorithms thrusts within the STAQ effort, and their work will seek to use co-design techniques to… $400,000
Trustees Of Tufts College Tufts University will work on the project under the direction of Dr. Peter Love, Associate Professor of Physics and Astronomy. In this project period, Tufts… $450,000
North Carolina State University Quantum computing has the potential to provide a signi�cant advantage over classical computing in terms of algorithmic complexity. The STAQ project is… $1,350,000
Massachusetts Institute Of Technology The MIT team will consist of PI Aram Harrow, a part-time postdoc (with the rest of their time on other projects) and a grad student. The team will contribute to… $450,000
President And Fellows Of Harvard College The overarching goal of the STAQ proposal is to develop and implement applications that promise a quantum advantage on near-term quantum devices. Broadly… $450,000

Quick answers

Who received award 2325080?

2325080 was awarded to Duke University by Division of Physics (National Science Foundation) on September 1, 2023.

How much is award 2325080 worth?

$10,705,249 has been obligated on 2325080.

Which agency awarded 2325080?

Division of Physics (National Science Foundation) awarded 2325080, with funding from Division of Information and Intelligent Systems (National Science Foundation).

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