Retrieving maximum information of symmetric states from their corrupted copies
arXiv:2502.10627 · doi:10.1103/PhysRevA.111.022424
Abstract
Using quantum measurements to extract information from states is a matter of routine in quantum science and technologies. A recent work [Phys. Rev. Lett. 133, 040202 (2024)] reported the finding that the symmetric structures of a state can be harnessed to dramatically reduce the sample complexity in extracting information from the state. However, due to the presence of noise, the actual state at hand is often corrupted, making its symmetric structures distorted before the execution of quantum measurements. Here, using the methodology of quantum metrology, we identify the optimal measurement that can retrieve maximum information of a symmetric state from its corrupted copies. We show that this measurement can be found by solving a semidefinite program in generic cases and can be explicitly determined for a large class of noise models covariant under the symmetry group in question. The results of this study nicely complement the recent work by providing a method to optimally utilize the distorted symmetric structures of corrupted states for information retrieval.
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References in corpus (14)
- Entanglement detection
- Reference frames, superselection rules, and quantum information
- The resource theory of quantum reference frames: manipulations and monotones
- Extending Noether's theorem by quantifying the asymmetry of quantum states
- Experimental entanglement of a six-photon symmetric Dicke state
- Experimental Observation of Four-Photon Entangled Dicke State with High Fidelity
- Permutationally invariant quantum tomography
- Self-guided quantum tomography
- Permutationally invariant state reconstruction
- Entanglement constrained by superselection rules
- Experimental observation of an entire family of four-photon entangled states
- Comparison between the Cramer-Rao and the mini-max approaches in quantum channel estimation
- Approaching Heisenberg-scalable thermometry with built-in robustness against noise
- Universal freezing of asymmetry