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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,...

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 t...

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 combinato...

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 sy...

"Variational Hamiltonian simulation for translational invariant systems via classical pre-processing, a work published in 2023 in Quantum Science and Technology by our former PhD student Refik Mansuroglu (now at Universität Wien), with contributions from Timo Eckstein, Ludwig Nützel, and Sam Wilkins...

In our recent work, by Timo Eckstein, Refik Mansuroglu, Piotr Czarnik, Jian-Xin Zhu, Hartmann Michael, Lukasz Cincio, Andrew Sornborger and Zoë Holmes, that was published just today in Nature Partner Journal Quantum Information,  we present an algorithm to simulate periodically time-dependent Hamilt...

During the 2023-2024 winter semester's course on quantum computing given by Prof. Hartmann, students were able to participate in an optional series of tutorials on the Qiskit package, which allows them to build quantum circuits, and then either simulate them on their computers, or run them on IBM's ...

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 molecu...

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.

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 ...