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Quantum Computing Systems
Distributed Machine Learning
Data Management

Current Team
Alumni

Tags

Publish-Subscribe

Pages in this section

Adaptive Content-Based Routing in General Overlay Topologies BE-tree: an index structure to efficiently match boolean expressions over high-dimensional discrete space Building Content-Based Publish/Subscribe Systems with Distributed Hash Tables Efficient event-based resource discovery Geo-Distribution of Flexible Business Processes over Publish/Subscribe Paradigm

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

Research

Quantum Computing Systems
Distributed Machine Learning
Data Management

Recent publications

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

Contact

Bahen Centre, University of Toronto

jacobsen [at] eecg [dot] utoronto [dot] ca

+1 416 946 7586

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