Recovery of optical losses with the Petz recovery map
Jinyan Chen, Minjeong Song, Valerio Scarani
TL;DR
This work analyzes approximate recovery of information lost in a single optical mode due to Gaussian losses, using the Petz recovery map for a forward channel modeled as a beam splitter with transmissivity $\eta$. It derives the Petz map parameters for Gaussian lossy channels with thermal environment and thermal reference, showing the map is Gaussian and can be implemented as a beam splitter or an amplifier depending on the scenario, with explicit formulas for $X_P$, $Y_P$, and $\eta'$. The authors compare Petz recovery against naive benchmarks using fidelity, showing Petz often outperforms replacing the state by a prior and, for thermal inputs, outperforms keeping the noisy state, though there are regimes where preserving the noisy state is preferable. They demonstrate near-optimality of the Petz map among the considered recovery protocols, quantified via relative transmissivity and fidelity metrics, and provide physical intuition for when Petz acts as a splitter vs an amplifier. Overall, the results advance Gaussian error correction by offering a concrete, near-optimal recovery strategy for optical losses with thermal priors and illuminate when Petz recovery is advantageous in quantum optical information tasks.
Abstract
Optical systems are a main platform for quantum information processing, while a hidden challenge in these systems is information loss due to scattering into unmonitored modes, typically modeled as state-independent beam-splitter interactions. While such losses simply erase information encoded across modes, they directly degrade information encoded in the quantum state of a mode. Perfect correction of these Gaussian lossy channels with Gaussian operations alone is known to be impossible. In this work, we investigate the Petz recovery map as an approximate recovery. We construct the Petz recovery of single mode losses and its implementations. In particular, we show that the recovery performance of Petz recovery map is better than the recovery protocol that replaces the noisy state with the belief state. Also, when the reference state is far from the true state, it is better not to use the Petz recovery map but to leave the noisy state instead. We discuss the physical intuition of Petz recovery map and finally shows that it is near-optimal among the considered recovery protocols.
