NSF Awards $2M Grant to UMD-led Team to Develop Quantum-based Machine Learning Algorithms and Hardware

NSF Awards $2M Grant to UMD-led Team to Develop Quantum-based Machine Learning Algorithms and Hardware

NSF Awards $2M Grant to UMD-led Team to Develop Quantum-based Machine Learning Algorithms and Hardware

Professor Edo Waks
Professor Edo Waks

Researchers from the University of Maryland (UMD) and collaborators from the Massachusetts Institute of Technology (MIT) have been awarded $2 million by the National Science Foundation (NSF) for a quantum idea incubator aimed at developing quantum-based machine learning. The $26 million grant is funded by the Quantum Leap Big Idea Program and the Division of Electrical, Communications, and Cyber Systems in the Directorate for Engineering.

NSF funded the project, “Quantum Machine Learning with Photonics,” as part of an initiative known as the Quantum Idea Incubator for Transformational Advances in Quantum Systems (QII - TAQS). QII-TAQS is designed to support interdisciplinary teams that will explore highly innovative and potentially transformative ideas for developing and applying quantum science, quantum computing, and quantum engineering. 

“Our team is exploring a completely new approach to quantum computing that takes machine learning into the quantum domain,” said Electrical and Computer Engineering Professor Edo Waks, who is a fellow of the Joint Quantum Institute and the Quantum Technology Center, and the principal investigator of the grant. Co-principal investigators include Andrew Childs, UMD Computer Science and Institute for Advanced Computer Studies Professor, and Co-director of the Joint Center for Quantum Information and Computer Science, and Professors Seth Lloyd and Dirk Englund of MIT.

In contrast to conventional approaches where computation is decomposed into logic gates, the investigators will focus on quantum computing architectures inspired by machine learning and deep learning. These architectures are naturally efficient and robust to noise, and are ideally suited to maximize the computational capabilities of currently available quantum processors which are composed of many noisy quantum bits. The project represents a highly multi-disciplinary effort that combines quantum hardware based on integrated and nonlinear optics, with algorithms and computer architecture and design. Success of the project could enable currently available quantum hardware to efficiently solve problems in a broad range of fields, such as medicine, biology, nuclear physics, and fundamental quantum science. 

The UMD award is one of 19 QII-TAQS projects intended to deliver new concepts, platforms, and approaches that will accelerate the science, computing, and engineering of quantum technologies, resulting in breakthroughs in quantum sensing, quantum communication, quantum simulation, and quantum computing systems.

Related Articles:
MEI² Scientists Named Highly Cited Researchers in 2019
UMD Transplant Organ Flight Named Invention of the Year
Duncan, Maisel Recognized by American Lung Association
ECE and CS Team up to Launch Master of Professional Studies in Machine Learning
NSF Awards $1M Grant to UMD Researchers
Ronald Walsworth Joins UMD’s Department of Electrical and Computer Engineering
University of Maryland Selected as Partner for New Research Consortium for Artificial Intelligence and Machine Learning
Li Member of UMD Invention of the Year Award Winning Team
Students Shine at AIAA Region 1 Student Conference
Phillips Recognized for Teaching Excellence

September 4, 2019

Prev   Next

Current Headlines

Anusha Dixit Awarded Inaugural Mary and Tom Snitch Undergraduate Scholarship

Dr. Hosam Fathy Joins Department of Mechanical Engineering Faculty

Ion Storage Systems Says Its Ceramic Electrolyte Could Be a Gamechanger for Solid-State Batteries

Gearing Up for the Future

FPE Launches the International Fire Safety Consortium

Thin Wood Film Amplifies Speaker Technology

Dean Pines Named University of Maryland's 34th President

John Baras named Fellow of American Institute for Aeronautics and Astronautics

News Resources

Return to Newsroom

Search News

Archived News

Events Resources

Events Calendar