Compressed sensing exploits sparsity in GHZ states to reduce measurement overhead for fidelity estimation while maintaining accuracy, as shown in simulations and Quantinuum trapped-ion experiments with error detection.
In particular, readout errors systemati- cally bias the observed bit-string distributions, and low- frequency dephasing during idle circuit periods degrades coherence
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Compressed Sensing for Efficient Fidelity Estimation of GHZ States
Compressed sensing exploits sparsity in GHZ states to reduce measurement overhead for fidelity estimation while maintaining accuracy, as shown in simulations and Quantinuum trapped-ion experiments with error detection.