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Experimental Set Up and Data Collection for DV and CV-QKD Optimization on Kirq Testbed
The objective of the project is to plan data collection for the design of machine learning models and algorithms capable of characterizing quantum interference between optical and quantum channels, or between quantum channels. We plan to use the NUMANA testbed to deploy the experiments to collect the required data. This will involve generating a quantum channel in conjunction with other optical channels, and then designing the data to be collected to characterize the interferences.
Faculty Supervisor:
Brigitte Jaumard
Student:
Partner:
Numana
Discipline:
Computer science
Sector:
Information and cultural industries; Other services (except public administration); Professional, scientific and technical services
University:
Concordia University
Program:
Business Strategy Internship
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.