In situ quantum verification of polarization-stabilized optical channels
Matthew L. Stevens, Noah I. Wasserbeck, Zachary Goisman, Arefur Rahman, John Michael Record, Taman Truong, Ariq Haqq, Muneer Alshowkan, Brian T. Kirby, Nils T. Otterstrom, Joseph M. Lukens
TL;DR
This work integrates ancilla-assisted process tomography (AAPT) with classical polarization tracking to validate deployed quantum channels in real time. By reconstructing the full CPTP quantum map $\mathcal{E}_{\mathcal{Q}}$ via Bayesian AAPT and comparing it to a unitary reference from the classical tracker, the method reveals nonunitary noise outside the tracker’s reach and tracks channel fluctuations with a sliding-window approach. The experiments on a three-node quantum local-area network show that in situ AAPT provides meaningful quantum validation alongside traditional tracking, with potential for enhanced multiplexing and faster tomography through brighter sources and parallel processing. The approach offers a practical tool for quantum-classical coexistence networks, enabling diagnostic insight into quantum channel performance under realistic deployment conditions.
Abstract
The active stabilization of polarization channels is a task of growing importance as quantum networks move to deployed demonstrations over existing fiber infrastructure. However, the uniquely strict requirements for high-fidelity qubit transmission complicate the extent to which classical solutions may apply to future quantum networks, particularly in terms of recognizing noise sources present in low-flux, nonunitary channels. Here we introduce a novel in situ benchmarking approach that augments a classical polarization tracking system, limited to unitary correction, with simultaneously transmitted quantum light for ancilla-assisted process tomography of the full quantum map. Implemented in a local-area quantum network, our method uses the reconstructed map both to validate the classical compensation and to expose noise sources it fails to capture. A sliding measurement window that continuously updates the estimated quantum process further increases sensitivity to rapid channel fluctuations. Our results should unlock new opportunities for in situ channel characterization in quantum-classical coexistence networks.
