Quantum tomography for quantum systems optimization

Boris I. Bantysh; Yurii I. Bogdanov

doi:10.1117/12.2624610

30 January 2022 Quantum tomography for quantum systems optimization

Boris I. Bantysh, Yurii I. Bogdanov

Proceedings Volume 12157, International Conference on Micro- and Nano-Electronics 2021; 121571U (2022) https://doi.org/10.1117/12.2624610
Event: International Conference on Micro- and Nano-Electronics 2021, 2021, Zvenigorod, Russian Federation

Abstract

Debugging quantum states transformations is an important task of modern quantum computing. The use of quantum tomography for these purposes significantly expands the range of possibilities. However, the presence of preparation and measurement errors complicates the practical use of this procedure. In this work, we investigate the possibility of estimating these errors from experiment. These estimates are subsequently used to build a robust quantum tomography model. The model allows one to accurately reconstruct unitary errors of single-qubit gates. We show that, having such imperfect single-qubit gates with pre-estimated errors, one can obtain transformations close to ideal ones. A similar approach can also significantly mitigate single-qubit gates crosstalk.

Citation Download Citation

Boris I. Bantysh and Yurii I. Bogdanov "Quantum tomography for quantum systems optimization", Proc. SPIE 12157, International Conference on Micro- and Nano-Electronics 2021, 121571U (30 January 2022); https://doi.org/10.1117/12.2624610

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