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13 to 18 of 149

18FEB 2025
Allgemein
Shot-noise reduction for lattice Hamiltonians accepted to QCTiP 2025
By: Timo Eckstein, Refik Mansuroglu, Stefan Wolf, Ludwig Nützel, Stephan Tasler, Martin Kliesch, and Michael J. Hartmann. Read the preprint here: https://arxiv.org/abs/2410.21251 Reducing the sampling cost is a major challenge both in the near-term as well as fault-tolerant era of quantum computing. We shift away from worst case (=Pauli weights) and average case (2-norm type) […]
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28JAN 2025
Allgemein
1. Weltschafkopftag / 1st World Schafkopf Day
QuantenSchafkopf beim 1. Weltschafkopftag Beim ersten Weltschafkopftag in Münchberg bei Hof bot sich für unseren Doktoranden Ludwig Nützel die Gelegenheit, mit eingefleischten Schafkopfern einerseits über Schafkopf, aber insbesondere über Quantenmechanik zu reden. Wir freuen uns, dass das Projekt so viel Anklang bei einem breiten Publikum findet und wir die Quantenphysik Stück für Stück erklärbarer machen […]QuantenSchafkopf beim 1. Weltschafkopftag Beim ersten Weltschafkopftag in Münchberg bei Hof bot sich für unseren Doktoranden Ludwig Nützel die Gelegenheit, mit eingefleischten Schafkopfern einerseits über Schafkopf, aber insbesondere über Quantenmechanik zu reden. Wir freuen uns, dass das Projekt so viel Anklang bei einem breiten Publikum findet und wir die Quantenphysik Stück für Stück erklärbarer machen […]
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08JAN 2025
Allgemein
Publication in IOP Quantum Science and Technology: “Solving an industrially relevant quantum chemistry problem on quantum hardware”
Today, IOP Quantum Science and Technology has published our work which had appeared earlier as a pre-print. This project was jointly realized by Ludwig Nützel, Alexander Gresch, Lukas Hehn, Lucas Marti, Robert Freund, Alex Steiner, Christian D. Marciniak, Timo Eckstein, Nina Stockinger, Stefan Wolf, Thomas Monz, Michael Kühn, and Michael J. Hartmann. In this work, […]
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06JAN 2025
News
Publication in Physical Review Applied: “Designing fast quantum gates using optimal control with a reinforcement-learning ansatz”
Our recent work, by Bijita Sarma and Michael J. Hartmann, has been published today in Physical Review Applied. In this project, we successfully used reinforcement learning to design quantum controls that achieve very fast two-qubit gates on a transmon tunable coupler circuit. Our work showcases the potential of combining machine-learning with quantum computing platforms to […]
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23DEC 2024
Allgemein
Publication in IOP Quantum Science and Technology: “Highly efficient encoding for job-shop scheduling problems and its application on quantum computers”
Our work on combinatorial problems has been published in IOP Quantum Science and Technology. It is the result of research performed by Mathias Schmid, alongside Sarah Braun, Rudolf Sollacher, and Michael J. Hartmann. In this project, we explore efficient problem encodings for a specific combinatorial problem, the job shop scheduling problem, and we find a […]
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05NOV 2024
Allgemein
Pre-print “Shot-noise reduction for lattice Hamiltonians”
In our recent work, by Timo Eckstein, Refik Mansuroglu, Stefan Wolf, Ludwig Nützel, Stephan Tasler, Martin Kliesch, and Michael J. Hartmann, that has just been published as a preprint: https://arxiv.org/abs/2410.21251, we present an energy estimation technique that is tailored to quantum lattices systems to obtain particularly efficient readout circuits yielding a guaranteed sampling noise reduction. […]In our recent work, by Timo Eckstein, Refik Mansuroglu, Stefan Wolf, Ludwig Nützel, Stephan Tasler, Martin Kliesch, and Michael J. Hartmann, that has just been published as a preprint: https://arxiv.org/abs/2410.21251, we present an energy estimation technique that is tailored to quantum lattices systems to obtain particularly efficient readout circuits yielding a guaranteed sampling noise reduction. […]
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