Publication

Browse all posts in the Publication category.

7 to 12 of 77

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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21AUG 2024
Allgemein
New pre-print “Solving an Industrially Relevant Quantum Chemistry Problem on Quantum Hardware”
Simulation of quantum chemical problems is one of the most promising avenues to practical quantum advantage. However, it remains a challenge on contemporary quantum computers without error correction to reach the required ‘chemical accuracy’. Prior works have therefore focussed on very simple molecules for proof-of-principle demonstrations. Now, a collaboration of chemists and physicists have developed […]Simulation of quantum chemical problems is one of the most promising avenues to practical quantum advantage. However, it remains a challenge on contemporary quantum computers without error correction to reach the required ‘chemical accuracy’. Prior works have therefore focussed on very simple molecules for proof-of-principle demonstrations. Now, a collaboration of chemists and physicists have developed […]
Read more about New pre-print “Solving an Industrially Relevant Quantum Chemistry Problem on Quantum Hardware”
15JUL 2024
Allgemein
New pre-print “Quantum Convolutional Neural Network for Phase Recognition in Two Dimensions”
In our new pre-print, we introduce the first Quantum Convolutional Neural Network for 2D systems, in order to study the phase transition of the Toric Code. Our circuit robustly identifies the transition from the topological to the paramagnetic phase up to a certain incoherent noise strength.
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22MAR 2024
Allgemein
New pre-print “Efficient Quantum Cooling Algorithm for Fermionic Systems”
In our new pre-print, we present the low-energy subspace cooling algorithm for finding the ground state of fermionic Hamiltonians. We derive adequate couplings between the system and an ancillary fridge without assuming prior knowledge about the spectrum and excitations of the system. Our algorithm proves to be efficient in cases where alternative methods are unsuccessful.
Read more about New pre-print “Efficient Quantum Cooling Algorithm for Fermionic Systems”