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.
Near-optimal sig- nal recovery from random projections: Universal encod- ing strategies?IEEE Transactions on Information The- ory, 52(12):5406–5425
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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.