699 citations
- Centre National de la Recherche ScientifiqueFR32 papers
- Max Planck Institute for InformaticsDE31 papers
- German Research Centre for Artificial IntelligenceDE21 papers
- Karlsruhe Institute of TechnologyDE16 papers
- Forschungszentrum JülichDE14 papers
- Helmholtz Center for Information SecurityDE14 papers
- RWTH Aachen UniversityDE13 papers
- University of KaiserslauternDE12 papers
- University of StuttgartDE12 papers
- Universitat Autònoma de BarcelonaES11 papers
- ETH ZurichCH10 papers
- Leipzig UniversityDE10 papers
11 papers · 2 filters
End-to-End Quantum Algorithm for Topology Optimization in Structural Mechanics
Leonhard Hölscher, Oliver Ahrend, Lukas Karch +5
Topology optimization is a key methodology in engineering design for finding efficient and robust structures. Due to the enormous size of the design space, evaluating all possible…
Modeling dissipation in quantum active matter
Alexander P. Antonov, Sangyun Lee, Benno Liebchen +5
Active matter is characterized by a constant influx and dissipation of energy that gives rise to directed motion. Dissipation requires interactions with an external environment, su…
Exploring the Fidelity of Flux Qubit Measurement in Different Bases via the Quantum Flux Parametron
Yanjun Ji, Susanna Kirchhoff, Frank K. Wilhelm
High-fidelity qubit readout is a fundamental requirement for practical quantum computing systems. In this work, we investigate methods to enhance the measurement fidelity of flux q…
Anti-concentration is (almost) all you need
Markus Heinrich, Jonas Haferkamp, Ingo Roth +1
Until very recently, it was generally believed that the (approximate) 2-design property is strictly stronger than anticoncentration of random quantum circuits, mainly because it wa…
High-fidelity control of a C nuclear spin coupled to a tin-vacancy center in diamond
Jeremias Resch, Ioannis Karapatzakis, Mohamed Elshorbagy +9
Nuclear spins near group-IV defects in diamond are promising candidates for quantum memories in quantum network applications. Here, we demonstrate high-fidelity control of a single…
Data-Efficient Quantum Noise Modeling via Machine Learning
Yanjun Ji, Marco Roth, David A. Kreplin +2
Maximizing the computational utility of near-term quantum processors requires predictive noise models that inform robust, noise-aware compilation and error mitigation. Conventional…