Quantum state tomography by compressed sensing: Fast and robust decoding of a quantum fingerprint

The need to perform quantum state tomography on ever-larger systems has spurred a search for methods that yield good estimates from incomplete data. We study the performance of compressed sensing (CS) and least squares (LS) estimators in a fast protocol based on continuous measurement on an ensemble of cesium atomic spins. They both efficiently reconstruct nearly pure states in the 16-dimensional ground manifold, reaching average fidelities ${\overline{\mathcal{F}}}_{\mathrm{CS}}=0.92$ and ${\overline{\mathcal{F}}}_{\mathrm{LS}}=0.88$ using similar amounts of incomplete data. Surprisingly, the main advantage of CS in our protocol is an increased robustness to experimental imperfections.The need to perform quantum state tomography on ever-larger systems has spurred a search for methods that yield good estimates from incomplete data. We study the performance of compressed sensing (CS) and least squares (LS) estimators in a fast protocol based on continuous measurement on an ensemble of cesium atomic spins. They both efficiently reconstruct nearly pure states in the 16-dimensional ground manifold, reaching average fidelities ${\overline{\mathcal{F}}}_{\mathrm{CS}}=0.92$ and ${\overline{\mathcal{F}}}_{\mathrm{LS}}=0.88$ using similar amounts of incomplete data. Surprisingly, the main advantage of CS in our protocol is an increased robustness to experimental imperfections.

arXiv:1208.5015Physical Review AMar 11, 201365 citations

{\overline{\mathcal{F}}}_{\mathrm{CS}}=0.92

and

{\overline{\mathcal{F}}}_{\mathrm{LS}}=0.88

using similar amounts of incomplete data. Surprisingly, the main advantage of CS in our protocol is an increased robustness to experimental imperfections.