Distributed-Training

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Research on data systems, distributed learning infrastructure, and quantum computing systems at the University of Toronto.

A user-tunable machine learning framework for step-wise synthesis planning
Adversarial Robustness in Distributed Quantum Machine Learning
Analyzing Initialization Strategies for the Local Unitary Cluster Jastrow Ansatz within the Quantum-Centric Supercomputing Framework
Beyond Message Passing: Modern GNN Architectures for Online Planner Selection

Bahen Centre, University of Toronto