Predicting non-Markovian superconducting qubit dynamics from tomographic reconstruction
| Autor: | Zhang, Haimeng, Pokharel, Bibek, Levenson-Falk, E. M., Lidar, Daniel |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Phys. Rev. Applied 17, 054018 (2022) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1103/PhysRevApplied.17.054018 |
| Popis: | Non-Markovian noise presents a particularly relevant challenge in understanding and combating decoherence in quantum computers, yet is challenging to capture in terms of simple models. Here we show that a simple phenomenological dynamical model known as the post-Markovian master equation (PMME) accurately captures and predicts non-Markovian noise in a superconducting qubit system. The PMME is constructed using experimentally measured state dynamics of an IBM Quantum Experience cloud-based quantum processor, and the model thus constructed successfully predicts the non-Markovian dynamics observed in later experiments. The model also allows the extraction of information about cross-talk and measures of non-Markovianity. We demonstrate definitively that the PMME model predicts subsequent dynamics of the processor better than the standard Markovian master equation. Comment: Comments welcome |
| Databáze: | arXiv |
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