181 citations
- Technical University of MunichDE13 papers
- Ludwig-Maximilians-Universität MünchenDE8 papers
- University of ZurichCH3 papers
- Accadis Hochschule Bad HomburgDE2 papers
- Czech Technical University in PragueCZ2 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE2 papers
- Fraunhofer Institute for Integrated Systems and Device TechnologyDE2 papers
- Infineon Technologies (Germany)DE2 papers
- University of AmsterdamNL2 papers
- Aix-Marseille UniversitéFR1 paper
- Alice Films (France)FR1 paper
- Alpine Quantum Technologies (Austria)AT1 paper
19 papers · 1 filter
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
Tongyan Wu, Amine Bentellis, Alona Sakhnenko +1
Hybrid classical-quantum models aim to harness the strengths of both quantum computing and classical machine learning, but their practical potential remains poorly understood. In t…
Benchmarking Quantum Reinforcement Learning
Georg Kruse, Rodrigo Coelho, Andreas Rosskopf +2
Quantum Reinforcement Learning (QRL) has emerged as a promising research field, leveraging the principles of quantum mechanics to enhance the performance of reinforcement learning…
Systematic benchmarking of quantum computers: status and recommendations
Jeanette Miriam Lorenz, Thomas Monz, Jens Eisert +11
Architectures for quantum computing can only be scaled up when they are accompanied by suitable benchmarking techniques. The document provides a comprehensive overview of the state…
Scalability Challenges in Variational Quantum Optimization under Stochastic Noise
Adelina Bärligea, Benedikt Poggel, Jeanette Miriam Lorenz
With rapid advances in quantum hardware, a central question is whether quantum devices with or without full error correction can outperform classical computers on practically relev…
Opportunities and challenges of quantum computing for climate modelling
Mierk Schwabe, Lorenzo Pastori, Inés de Vega +6
Adaptation to climate change requires robust climate projections, yet the uncertainty in these projections performed by ensembles of Earth system models (ESMs) remains large. This…
Identifying Bottlenecks of NISQ-friendly HHL algorithms
Marc Andreu Marfany, Alona Sakhnenko, Jeanette Miriam Lorenz
Quantum computing promises enabling solving large problem instances, e.g. large linear equation systems with HHL algorithm, once the hardware stack matures. For the foreseeable fut…