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.
Achieving computational gains with quantum error-correction primitives: Generation of long-range entanglement enhanced by error detection
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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.