News
New method prevents quantum computers from crashing
Quantum information is fragile, which is why quantum computers must be able to correct errors. But what if whole qubits are lost? In collaboration with colleagues at the University of Innsbruck and University of Bologna, we developed and experimentally implemented a method published in the journal Nature that allows quantum computers to keep going even if they lose some qubits along the way. We invite you to also have a look at the press release!
FTQT 2020
Markus Müller is grateful to have given the opening talk on "Fighting Qubit Loss in Topological QEC Codes” at this years virtual Fault-Tolerant Quantum Technologies Workshop (FTQT 2020) - the video of this talk and others can be found here.
Welcome Lorenzo Cardarelli
Lorenzo completed his PhD at the University of Hannover, Germany, where he investigated quantum link models and topological phases in cold atom systems.
At Aachen he is joining the EU Quantum Technology Flagship AQTION project, where he hopes to deploy his expertise in AMO physics and the study of strongly correlated systems to contribute to the development and applications for Europe’s first compact trapped-ion quantum computer demonstrator.
Lorenzo started his work from 01st July 2020.
Welcome Sascha Heußen
Sascha completed his Master in Physics at TU Dortmund, on the topic of interaction-induced topological quantum phase transitions, followed by a research stay at Caltech and AI and Machine-Learning-related work in industry.
At Aachen, he starts an ML4Q-funded project on the development of fault-tolerant QEC protocols in solid-state-based quantum information platforms.
Sascha started his work from 01st July 2020.
Welcome Thomas Botzung
Thomas completed his PhD thesis at the Universities of Strassbourg and Bologna, investigating one-dimensional strongly correlated systems with long-range interactions.
At Aachen, he joins the ERC Starting Grant project QNets, where he hopes to contribute with his expertise to the development of open-system quantum neural networks and the study of driven-dissipative many-body systems.
Thomas started his work from 01st May 2020.
Congratulations David Amaro
David Amaro receives his PhD on 28th April 2020.
His thesis is entitled Characterization and implementation of robust quantum information processing.