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Quantum Utilities for Integrated Characterization

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-19-P-0007
Agency Tracking Number: A18B-011-0159
Amount: $149,999.18
Phase: Phase I
Program: STTR
Solicitation Topic Code: A18B-T011
Solicitation Number: 18.B
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-12-20
Award End Date (Contract End Date): 2019-06-20
Small Business Information
111 Concord St
New Haven, CT 06512
United States
DUNS: 203747191
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ian Hincks
 Principal Investigator/Research Scientist
 (519) 998-7938
Business Contact
 Joel Wallman
Phone: (226) 606-3073
Research Institution
 Duke University
 Jungsang Kim Jungsang Kim
2200 West Main Street, Suite 710
Durham, NC 27708
United States

 (919) 660-5258
 Nonprofit College or University

Quantum information processing has the potential to revolutionize the U.S. economy, with a potential market value of hundreds of billions of dollars for quantum-information based technologies in a wide variety of sectors, including pharmaceuticals, energy, transportation, and cyber security. A major obstacle to realizing this potential is overcoming the error-prone nature of quantum information, which is exponentially complex in the processor size. This exponential complexity makes designing and characterizing quantum hardware extremely challenging. Quantum Benchmark Inc. has developed methods for efficiently characterizing large-scale quantum information processors and software tools implementing those methods. The current tools have been designed and tested under a limited framework for quantum processing. The proposed Phase I effort will produce software tools that accommodate a wide variety of scalable quantum information processor architectures and experimentally validate that the tools are easy to configure and implement, broadly enabling R&D labs to leverage these state-of-the-art characterization protocols. Subsequent Phase II efforts will port the existing software tools over to the framework developed in Phase I, add additional characterization and optimization methods, and enable the efficient and automated characterization and optimization of large-scale quantum information processors.

* Information listed above is at the time of submission. *

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