Grants and Contributions:
Title:
Quantum Error Prevention and Correction using Transformer Model
Agreement Number:
1016507
Agreement Value:
$495,000.00
Agreement Date:
Mar 26, 2024 - Sep 30, 2027
Description:
The Project employs modern machine learning to accelerate the development of industry-ready quantum computing technologies. To this end, the Project addresses the key bottleneck in quantum computing technologies, quantum errors, by pioneering advancements in quantum error prevention and correction through machine learning methods. Machine learning methods, and in particular transformers, possess the potential to learn and model the patterns and dynamics of quantum errors in individual quantum processor hardware in unprecedented detail and with unprecedented adaptability to individual quantum processors. This opens the prospect of machine-learned quantum error handling strategies that are significantly more complex, and efficient, than the more rigid manually developed methods currently in use. By fundamentally transforming the approach to quantum error handling, the Project will accelerate the transition from experimental quantum systems to reliable, scalable quantum computing platforms, aiming to ensure a leading edge for Canada in the global technological landscape
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Waterloo, Ontario, CA N2L 3G1
Reference Number:
172-2023-2024-Q4-1016507
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119260685
Recipient Type:
Academia
Recipient's Legal Name:
University of Waterloo
Federal Riding Name:
Waterloo
Federal Riding Number:
35112
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences