News

Welcome to our blog. Browse and filter through all our posts using the options below.

19 to 24 of 149

23OCT 2024
Allgemein
Work featured in IOP’s retrospective high-impact research
“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 Wilkinson, has been featured in IOP’s retrospective list of high-impact German research, titled “Celebrating the […]“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 Wilkinson, has been featured in IOP’s retrospective list of high-impact German research, titled “Celebrating the […]
Read more about Work featured in IOP’s retrospective high-impact research
16OCT 2024
Allgemein
Theoretische Physik 4: Statistische Physik (TP-4) — Winter Semester 24/25
Lecture, Winter Semester 2024-2025, Tuesdays 10.15 in lecture theater E (HE), see Campo. You can find more information on the StudOn page https://www.studon.fau.de/campo/course/407779
Read more about Theoretische Physik 4: Statistische Physik (TP-4) — Winter Semester 24/25
13SEP 2024
Allgemein
Publication in NPJ Quantum Information: “Large-scale simulations of Floquet physics on near-term quantum computers”
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 Hamiltonian dynamics leveraging insights from Floquet theory to be able to re-use tme-independent Hamitlonian […]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 Hamiltonian dynamics leveraging insights from Floquet theory to be able to re-use tme-independent Hamitlonian […]
Read more about Publication in NPJ Quantum Information: “Large-scale simulations of Floquet physics on near-term quantum computers”
29AUG 2024
Allgemein
Qiskit tutorials released to the public
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 public quantum hardware. These tutorials are now […]
Read more about Qiskit tutorials released to the public
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.
Read more about New pre-print “Quantum Convolutional Neural Network for Phase Recognition in Two Dimensions”