FAU
FAU develops theory and designs for coupling circuits between more than two qubits to enhance the connectivity oft he chip and enable multi-qubit gates. In addition, FAU will work on concepts to suppress unwanted cross talk between qubits and assist the chip development and scaling with numerical modelling of the hardware in coopretaion with IAF. Finally, FAU will develop together with FZJ a hardware adapted algorithm to demonstrate the capabilities of the developed device.
Prof. Michael J. Hartmann studied physics at the Ludwig Maximilians Universität München. In 2005 he obtained his PhD in physics from the University of Stuttgart and then spent 3 years at Imperial College in London as a Feodor-Lynen fellow of the Humboldt Foundation. 2008-2013 he was an Emmy Noether Fellow oft he German Science Foundation at Technische Universität München. He became Associate Professor at Heriot-Watt University Edinburgh in 2013 and then 2019 full professor at Friedrich-Alexander Universität Erlangen-Nürnberg and associate member of the Max Planck Institute for the Science of Light. In 2019 he was a visiting faculty fellow of the Google Quantum AI program.
Other projects:
- Neuromorphic Quantum Computing (Quromorphic), coordinator PI, H2020 FET Open, https://www.quromorphic.eu
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Effiziente Materialsimulation auf NISQ‐Quantencomputern (MANIQU), Partner PI, BMBF, https://www.quantentechnologien.de/forschung/foerderung/quanteninformatik-algorithmen-software-anwendungen/maniqu.html
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Quantum Cooperativity in Light and Matter (QuCoLiMa), CRC-TR 306 DFG, https://www.qucolima.de
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Quantum Reinforcement Learning für industrielle Anwendungen (QLindA), Associate PI, BMBF, https://www.quantentechnologien.de/forschung/foerderung/quanteninformatik-algorithmen-software-anwendungen/qlinda.html
