• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

U.S. Navy’s SPAWAR will pay D-Wave for quantum computer training

May 22, 2016   Big Data
D Wave 2 780x473 U.S. Navy’s SPAWAR will pay D Wave for quantum computer training

A division of the U.S. Navy intends to pay Canadian company D-Wave to learn how to use its quantum computing infrastructure, according to a federal filing posted online on Monday.

The unit seeking this training is the Navy’s Space and Naval Warfare Systems Center Pacific, known as SPAWAR or SSC-PAC for short, which is headquartered in San Diego and has previously researched amphibious throwable robots, unmanned aerial vehicles, virtual reality, and many other technologies. The filing does not actually cover the cost of quantum computing hardware. But NASA has been allowing SPAWAR scientists to learn how to use the D-Wave machine that it operates with Google at the NASA Ames Research Center, the San Diego Union-Tribune reported last month.

Quantum computers employ quantum bits, or qubits, each of which can be zero or one or both, unlike the regular bits in classical computers. The superposition of qubits lets machines perform great numbers of computations at once, making a quantum computer highly desirable for certain types of processes. Google recently found that quantum annealing with D-Wave hardware is 100 times faster than simulated annealing on a classic computer chip.

D-Wave also has deals in place with government contractor Lockheed Martin and Los Alamos National Laboratory in New Mexico, among others.

Earlier this month, IBM launched a free cloud service for running experiments on a quantum chip at its T.J. Watson Research Center in New York. The chip was not manufactured by D-Wave, which last year disclosed a $ 29 million funding round.

Update on May 18: Removed references to the $ 11 million figure cited in the filing. The dollar amount refers to the U.S. Small Business Administration’s size standard for the work, not the size of the contract.


Get more stories like this on Twitter & Facebook


Let’s block ads! (Why?)

Big Data – VentureBeat

a Training, Computer, DWave, Navy’s, quantum, SPAWAR, U.S.
  • Recent Posts

    • AI Weekly: Biden calls for $37 billion to address chip shortage
    • NOT WHAT THEY MEANT BY “BUILDING ON THE BACKS OF….”
    • Why Healthcare Needs New Data and Analytics Solutions Before the Next Pandemic
    • Siemens and IBM extend alliance to IoT for manufacturing
    • Kevin Hart Joins John Hamburg For New Netflix Comedy Film Titled ‘Me Time’
  • Categories

  • Archives

    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited