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Quantum Computing Systems
Distributed Machine Learning
Data Management

Current Team
Alumni

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Benchmarking

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Benchmarking Apache Kafka under network faults Challenger 2.0: A Step Towards Automated Deployments and Resilient Solutions for the DEBS Grand Challenge DEBS 2022 Grand Challenge Data Set: Trading Data Detecting trading trends in financial tick data: the DEBS 2022 grand challenge FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns

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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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