Faculty profile
Hans-Arno Jacobsen
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Research
Latest papers
Parametrized Quantum Circuit Learning for Quantum Chemical Applications.
Journal of chemical information and modeling · 2026 · senior author
Model-based analysis to identify the impact of factors affecting electricity gaps during COVID-19: A case study in Germany.
Heliyon · 2024
Applications of noisy quantum computing and quantum error mitigation to "adamantaneland": a benchmarking study for quantum chemistry.
Physical chemistry chemical physics : PCCP · 2024 · senior author
Latest funding
- $780,000
Leveraging Graph Neural Networks and Large Language Models for Telecom Network and Cloud Operations
NSERC · 2025 · Principal investigator
- $150,000
Sustainable Data Systems for Data Science
NSERC · 2024 · Co-investigator
- $2,000,000
Quantum software consortium: Exploring distributed Quantum solutions for Canada
NSERC · 2023 · Principal investigator
4 publications.
Parametrized Quantum Circuit Learning for Quantum Chemical Applications.
Jones GM, Prasad VK, Fekl U, Jacobsen HA
Model-based analysis to identify the impact of factors affecting electricity gaps during COVID-19: A case study in Germany.
Kaneko N, Fujimoto Y, Jacobsen HA, Hayashi Y
Applications of noisy quantum computing and quantum error mitigation to "adamantaneland": a benchmarking study for quantum chemistry.
Prasad VK, Cheng F, Fekl U, Jacobsen HA
Using Machine Learning to Provide Reliable Differentiated Services for IoT in SDN-Like Publish/Subscribe Middleware.
Shi Y, Zhang Y, Jacobsen HA, Tang L, Elliott G, Zhang G, Chen X, Chen J
Leveraging Graph Neural Networks and Large Language Models for Telecom Network and Cloud Operations
Principal investigators: Jacobsen, Hans-Arno
Keywords: Information and communication services; Information, computer and communication technologies
Sustainable Data Systems for Data Science
Principal investigators: Kemme, Bettina B
Keywords: data science applications; data science platforms; data storage and management; data systems; energy-awareness; full-stack computer system knowledge; green computing; hardware support; machine learning; middleware systems
Quantum software consortium: Exploring distributed Quantum solutions for Canada
Principal investigators: Jacobsen, Hans-Arno H-A
Keywords: catalyst search, reaction design; compilation for dqc; distributed quantum computing (dqc); error correction, error mitigation; fault-tolerant quantum computing; hybrid quantum-classical computing; noisy intermediate-scale quantum com; quantum chemestry, drug design; quantum computing and algorithms; quantum materials
Quantum Machine Learning Advantage for Molecular Property Predictions
Principal investigators: Jacobsen, Hans-Arno
Keywords: Quantum computing; Quantum information processing; Machine learning; Quantum machine learning; Quantum chemistry; Computational chemistry; Catalysis; Materials science; Molecular property prediction
Quantum Machine Learning Advantage for Molecular Property Predictions
Principal investigators: Jacobsen, Hans-Arno
Keywords: Quantum computing Quantum information processing Machine learning Quantum machine learning Quantum chemistry Computational chemistry Catalysis Materials science Molecular property prediction
ETCHING: Edge-To-Cloud Heterogeneous Infrastructure NetworkinG
Principal investigators: Jacobsen, HansArno
Learning Clouds
Principal investigators: Jacobsen, Hans-Arno
Keywords: cloud computing; microservices; composite applications; service level agreements (sla); adaptive systems; distributed systems; middleware; web services; system control and tuning; reinforcement learning
Enabling a highly-scalable, cloud-based microservices architecture
Principal investigators: Jacobsen, Hans-Arno
Middleware framework and programming infrastructure for IoT services
Principal investigators: Kontogiannis, Konstantinos
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
Principal investigators: Jacobsen, HansArno
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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