Near-term quantum computers: challenges, optimal implementations and applications
The project aims at characterizing the computational power and to investigate possible practical applications of quantum computing devices consisting of a limited number of imperfect qubits. To realize the goals we will form a network of closely collaborating research groups working on cutting-edge aspects of quantum computing: quantum machine learning, control of quantum systems, quantumerror-correction and identification resources responsible for quantum speedup.
The consortium (lead by Marek Kuś) will run four research groups: Quantum Computing Group (leader Michał Oszmaniec, CTP PAS), Quantum Machine Learning Group (leader Zbigniew Puchała. ITAI PAS, Quantum Error Correction Group, and Quantum Resources Group. Two last groups will be established at the Jagiellonian University in Kraków (Faculty of Physics, Astronomy and Applied Computer Science). The part of the consortium established at JU will be supervised by Karol Życzkowski.
We seek for group leaders for groups