Dr. Muhammad Usman
M. Usman is team leader of quantum technologies at Data61 within the CSIRO and a honorarily Associate Professor in the School of Physics, University Melbourne.
M. Usman is team leader of quantum technologies at Data61 within the CSIRO and a honorarily Associate Professor in the School of Physics, University Melbourne.
In recent years, the research focus of our Lab has shifted from the investigation of nanoscale physics at the fundamental atomistic scale to developing quantum algorithms and software for advancing quantum information science. At present, the QL2Q Lab has been primarily working at the forefront of quantum computing, with the aim (1) to reduce the barrier for quantum application developers by offering efficient quantum software solutions with hardware agnostic approach and (2) to advance the usability and adaptation of quantum technologies for real-world applications by developing and benchmarking quantum algorithms. Our team has been developing a full-stack quantum software platform underpinned by a powerful compiler which offers capabilities of quantum error correction/mitigation, optimised quantum control, hardware mapping, etc. Another key focus for our research is at the intersection of quantum computing and machine learning. We are developing quantum machine learning algorithms and investigating their capabilities for quantum enhanced robustness, efficiency and accuracy. One the other hand, we are interested in how classical machine learning could help in advancing quantum computing such as in quantum material design and metrology, noise characterisation and mitigation, and quantum error correction.
Postdoc
PHD student
