Measurement Noise Mitigation in a Quantum Computer Using Image Intensity Filters
Autor: | Silva, Wladimir |
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Rok vydání: | 2023 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | We propose a method to mitigate measurement errors in the distribution counts of a Quantum computer using image contrast filters. This work is similar to the method described by Gambetta and colleagues in [1]; however our technique does not use a linear system of equations, but an image contrast filter to mitigate the measurement noise. Furthermore this method is demonstrated against the same set of experiments described in the matrix-free measurement mitigation (M3) library from Qiskit from which [1] is based upon. Our results show our method outperforming M3 by a wide margin in all experiments on IBM-Q. Furthermore, our method is platform agnostic; we demonstrate this by running some experiments on the IonQ cloud with similar results. Finally, we provide results, documentation and detailed test and source code for further investigation. Comment: 11 pages, 8 figures |
Databáze: | arXiv |
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