Journal article

Performance Optimization for Drift-Robust Fidelity Improvement of Two-Qubit Gates

GAL White, CD Hill, LCL Hollenberg



Quantum-system characterization techniques represent the front line in the identification and mitigation of noise in quantum computing but can be expensive in terms of quantum resources and time to repeatedly employ. Another challenging aspect is that the parameters governing the performance of various operations tend to drift over time and monitoring these is hence a difficult task. One of the most promising characterization techniques, gate-set tomography (GST), provides a self-consistent estimate of the completely positive trace-preserving (CPTP) maps for a complete set of gates, as well as preparation and measurement operators. We develop a method for performance optimization seeded by t..

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Funding Acknowledgements

We are grateful to K. Modi and F. Pollock for valuable conversations, and to D. Broadway for figure advice. This work was supported by the University of Melbourne through the establishment of an IBM Quantum Network Hub at the University. G.A.L.W. is supported by an Australian Government Research Training Program Scholarship. C.D.H. is supported through a Laby Foundation grant at The University of Melbourne. Computational resources are acknowledged from the National Computational Infrastructure (NCI) and the Pawsey Supercomputer Center under the National Computational Merit Allocation Scheme (NCMAS).