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Jeanette Miriam Lorenz

Generalization bounds in hybrid quantum-classical machine learning models
2025 · Tongyan Wu, Amine Bentellis, et al. · Physical Review A · 4
BenchQC Scalable and Modular Benchmarking of Industrial Quantum Computing Applications
2026 · Florian Geissler, Eric Stopfer, et al. · Communications in computer and information science · 3
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Discovering Data Encoding Strategies for Quantum-Classical Neural Networks Using Monte Carlo Tree Search
2026 · Tokuhiro, Lena, Bentellis, Amine, et al. · arXiv (Cornell University) · 2
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QAOA-Predictor: Forecasting Success Probabilities and Minimal Depths for Efficient Fixed-Parameter Optimization
2026 · Coelho, Rodrigo, Kruse, Georg, et al. · arXiv (Cornell University) · 2
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The QuaST Decision Tree: Achieving Automation With Data-Based Recommendations
2026 · Poggel, Benedikt, Tokuhiro, Lena, et al. · arXiv (Cornell University) · 1
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Accuracy-cost trade-offs for reference VQE calculations of H 2 on IBM quantum hardware
2026 · Julen Larrucea, Marita Oliv, et al. · Quantum Science and Technology
Quantum-Enhanced Kernel Alignment for Imbalanced Biomedical Data Classification
2026 · Florian Heininger, Sakshi Singh, et al. · Code Ocean
The Effects of Conditional Pooling Techniques in Quanvolutional Circuits of Quantum-Classical Hybrid Neural Networks
2026 · Faier, Robin, Lorenz, Jeanette Miriam, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Generalization bounds in hybrid quantum-classical machine learning models
2026 · Wu, Tongyan, Bentellis, Amine, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Adversarial Robustness in Quantum Machine Learning
2026 · Nicola Franco, Aman Saxena, et al. · Quantum science and technology
Wirtschaftlicher Impakt von Tensornetzwerken: Das Potential von quanteninspirierten Methoden für Fragestellung in der KI und Optimierung
2026 · Lorenz, Jeanette Miriam, Zambrano Manrique, David, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
How applications can guide developments in quantum computing
2026 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Confronting Quantum-enhanced AI with Industrial Applications
2026 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Quantencomputer & Quantenmaschinelles Lernen – Gefahr oder Chance?
2026 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Systematic benchmarking of quantum computers: status and recommendations
2025 · Lorenz, Jeanette Miriam, Monz, Thomas, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Quantum computing in medical physics
2025 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
How applications can guide developments in quantum computing
2025 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Hybrid Quantum-Classical Benchmarking - Assessing workflows that combine quantum and classical computation
2025 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
What can we learn from applications for the development of quantum computing?
2025 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Applications of quantum computing & how to connect them to the HPC software stack
2025 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Systematic benchmarking of quantum computers: status and recommendations
2025 · Lorenz, Jeanette Miriam, :unav · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Security Aspects of Quantum Machine Learning (SecQML)
2025 · Franco, Nicola, Sakhnenko, Alona, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Works count: 51
Citation count: 13
H-index: 2
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