WASHINGTON, D.C., April 24, 2017 — The Intelligence Advanced Research Projects Activity, within the Office of the Director of National Intelligence (ODNI), announced today that it has embarked on a multi-year research effort to develop special-purpose algorithms and hardware that harness quantum effects to surpass conventional computing. Practical applications include more rapid training of machine learning algorithms, circuit fault diagnostics on larger circuits than possible today, and faster optimal scheduling of multiple machines on multiple tasks. If successful, technology developed under the Quantum Enhanced Optimization—“QEO”—program will provide a plausible path to performance beyond what is possible with today’s computers.
“The goal of the QEO program is a design for quantum annealers that provides a 10,000-fold increase in speed on hard optimization problems, which improves at larger and larger problem sizes when compared to conventional computing methods,” said Dr. Karl Roenigk, QEO program manager at IARPA.
Through a competitive Broad Agency Announcement process, IARPA has awarded a research contract in support of the QEO program to an international team led by the University of Southern California. Subcontractors include the California Institute of Technology, Harvard University, Massachusetts Institute of Technology, University of California at Berkley, University College London, Saarland University, University of Waterloo, Tokyo Institute of Technology, Lockheed Martin, and Northrup Grumman. Other participants providing validation include NASA Ames Research Center and Texas A&M. Participants providing government-furnished hardware and test bed capabilities include MIT Lincoln Laboratory and MIT.
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IARPA invests in high-risk, high-payoff research programs to tackle some of the most difficult challenges of the agencies and disciplines in the Intelligence Community. Additional information on IARPA and its research may be found on https://www.iarpa.gov.
Source: Office of the Director of National Intelligence (ODNI)