Benchmarking bosonic modes for quantum information with randomized displacements

• URL: http://arxiv.org/abs/2405.15237v1
• Date: Fri, 24 May 2024 06:00:05 GMT
• Title: Benchmarking bosonic modes for quantum information with randomized displacements
• Authors: Christophe H. Valahu, Tomas Navickas, Michael J. Biercuk, Ting Rei Tan,
• Abstract summary: We show a bosonic randomized benchmarking protocol that uses randomized displacements of bosonic modes in phase space to determine their quality. We experimentally validate the analytical models by injecting engineered noise into the motional mode of a trapped ion system. Finally, we investigate the intrinsic error properties in our system, identifying the presence of highly correlated dephasing noise as the dominant process.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Bosonic modes are prevalent in all aspects of quantum information processing. However, existing tools for characterizing the quality, stability, and noise properties of bosonic modes are limited, especially in a driven setting. Here, we propose, demonstrate, and analyze a bosonic randomized benchmarking (BRB) protocol that uses randomized displacements of the bosonic modes in phase space to determine their quality. We investigate the impact of common analytic error models, such as heating and dephasing, on the distribution of outcomes over randomized displacement trajectories in phase space. We show that analyzing the distinctive behavior of the mean and variance of this distribution - describable as a gamma distribution - enables identification of error processes, and quantitative extraction of error rates and correlations using a minimal number of measurements. We experimentally validate the analytical models by injecting engineered noise into the motional mode of a trapped ion system and performing the bosonic randomized benchmarking protocol, showing good agreement between experiment and theory. Finally, we investigate the intrinsic error properties in our system, identifying the presence of highly correlated dephasing noise as the dominant process.

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