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Agnostiq announces partnership with Mila to bridge quantum computing and machine learning

By IQT News posted 19 Jan 2022

(HPCWire) Agnostiq, Inc., the first-of-its-kind quantum computing SaaS startup, is pleased to announce that it has formed a strategic partnership with Montreal-based Mila, the world’s largest machine learning research institute, in an effort to bridge the gap between the quantum computing and machine learning communities.
“Quantum computing will have a tremendous impact on many fields and machine learning is no exception,” says Oktay Goktas, CEO of Agnostiq. “A partnership with Mila brings us access to a world-class research community that comes with decades of experience in machine learning, which will in turn help us design better tools for emergent quantum machine learning use cases.”
The new partnership gives Mila access to Agnostiq’s quantum researchers, who are working on classes of machine learning problems that are specific to quantum computing, and Agnostiq access to Mila’s AI/ML researchers and partner network. Partnering with Mila will help Agnostiq remain at the forefront and among the first to discover compelling new use cases for quantum machine learning.
“Agnostiq offers an exciting opportunity to explore ML challenges specific to quantum computing, as our strategic alliance with this promising startup will allow us to combine our expertise,” says Stéphane Létourneau, Executive Vice President of Mila. “Mila’s research community works daily toward improving the democratization of machine learning, developing new algorithms, and advancing deep learning capabilities. We are thrilled to work closely with Agnostiq to continue these important missions.”
The partnership will also support Agnostiq’s talent attraction and retention efforts, encouraging potential candidates to apply, as they will have the opportunity to collaborate with Mila’s world-renowned researchers. Finally, the collaboration further validates Canada’s position as a global leader in quantum computing and machine learning research.

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