Canadian Quantum Ecosystem: Lessons from the 5th Workshop on Quantum Computing Entrepreneurship
This article is part of a series exploring the unique characteristics and challenges of managing technology teams in emerging fields, with a particular focus on quantum computing [1-5]. The series delves into the experiences of entrepreneurs, researchers, and organizations at the forefront of the quantum revolution, offering insights into team management, innovation, and ecosystem development. Canada's vibrant quantum computing ecosystem is undergoing rapid expansion driven by a combination of government support, world-class academic institutions, and a thriving entrepreneurial community. The 5th Workshop on Quantum Computing Entrepreneurship, held during IEEE Quantum Week 2024, was organized by volunteers from the IEEE Technology & Engineering Management Society (TEMS), IEEE Entrepreneurship, and the Institut quantique. This workshop explored the key pillars of Canada's quantum ecosystem, showcasing the experiences of those driving the quantum revolution. These pillars encompass national and regional organizations that foster ecosystem growth, quantum accelerators that facilitate technology transfer from academia to industry, and the startups driving commercialization. Beyond offering valuable insights into the Canadian quantum ecosystem, this article also highlights fundamental components essential to any quantum ecosystem, given the current maturity of the technology. Readers involved in policy, entrepreneurship, or technology management can apply these lessons to foster quantum ecosystems in their own regions or organizations.
Authors
- Rafael Sotelo (ORCID: https://orcid.org/0000-0002-4034-3177)
- Guy Lefèbvre
- A. Chen (ORCID: https://orcid.org/0000-0001-9973-7966)
Institutions
- Université de Sherbrooke (CA)
- Network for Business Sustainability (CA)
- Universidad de Montevideo (UY)
Publication Details
- Journal
- IEEE Engineering Management Review
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/emr.2025.3602394
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00