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Quantum Utilities for Integrated Characterization

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-20-C-0015
Agency Tracking Number: A2-7870
Amount: $998,844.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: A18B-T011
Solicitation Number: 18.B
Timeline
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-11-19
Award End Date (Contract End Date): 2021-11-19
Small Business Information
2081 Center St
Berkeley, CA 94704
United States
DUNS: 203747191
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ian Hincks
 Lead Software Engineer
 (519) 998-7938
 ihincks@quantumbenchmark.com
Business Contact
 Joel Wallman
Phone: (226) 606-3073
Email: jwallman@quantumbenchmark.com
Research Institution
 Duke University
 Jennifer Bolognesi Jennifer Bolognesi
 
2200 West Main Street, Suite 710
Durham, NC 27708
United States

 (919) 681-4932
 Nonprofit College or University
Abstract

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 proposed Phase II effort will produce software tools that can be used to automatically characterize and optimize a wide variety of scalable quantum information processor architectures, both at the physical and the logical level. The effort will empirically validate that the tools are easy to configure and implement, and that these tools will broadly enable R&D labs to automatically characterize and optimize large-scale quantum information processors as such processors are developed, rapidly decreasing the fabrication-to-testing design cycles of next-generation quantum hardware and generating and validating robust performance.

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

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