During the Berlin Science Week at the beginning of November, Paul Fährmann, a member of the PlanQK consortium partner Working Group Eisert from the Dahlem Center for Complex Quantum Systems at Free University of Berlin, was awarded the Quantum Future Award 2020 by the German Federal Ministry of Education and Research.
In his work „Resource-based perspectives on near and long-term quantum computing“, Mr. Fährmann dealt with the question of which algorithms are particularly suitable for current quantum computers. Due to the NISQ (Noisy Intermediate-Scale Quantum) properties of current quantum computers, the use of variable quantum algorithms is especially recommended. Furthermore, these algorithms have been improved based on experience with classical machine learning methods.
The results are already used in the frameworks PennyLane and TensorFlowQuantum and can therefore be used especially for solving real optimization problems against the background of the progressive improvement of quantum computers. „I am pleased to be able to contribute this recognized expertise to the PlanQK project also in direct contact with industrial partners“, says Paul Fährmann.
The Quantum Future Award of the Federal Ministry of Education and Research (BMBF) is part of the Quantum Future Program and has been awarded since 2018 for outstanding final theses related to quantum technologies. The proposed theses are once again concisely summarized, evaluated by a committee from science, industry and politics and then presented live by the students themselves. You can personally view this pitch of the thesis under the following link.
Implementation in PennyLane:https://pennylane.ai/qml/demos/tutorial_doubly_stochastic.html
Improvement of variational algorithms: https://quantum-journal.org/papers/q-2020-08-31-314/)
Working group Eisert: https://www.physik.fu-berlin.de/einrichtungen/ag/ag-eisert/index.html