Estimation of symmetric quantum states generated by noisy quantum computers
Keywords:
quantum tomography, VQT, GITAbstract
In this project, we address the problem of reconstructing symmetric quantum states using the estimation technique called Group Invariant Quantum Tomography (GIT), which allows for a reduction in the number of measurements required. In this work, we present two codes [1] developed in Python, using the Amazon Braket library. The first one simulates quantum circuits and performs measurements, considering the system in the presence of noise.
The second code implements VQT-GIT tomography based on convex optimization, which reconstructs the density of state matrix from the measurement data. These codes were used in the previous work [2] to evaluate the fidelity of the topographic method.
The results show that, using a considerably smaller number of measurements compared to conventional tomography, it is possible to obtain high-fidelity reconstructions.
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Copyright (c) 2025 Giannina Zerr, Federico Holik, Marcelo Losada
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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