Noise-Robust Quantum State Characterization for Remote State Preparation with Deep Learning
Quantum communication underpins secure information processing and scalable quantum networks. In particular, remote state preparation (RSP) enables efficient quantum state transfer, but accurately estimating target states under complex noise remains challenging. Here, we propose a Transformer-based Quantum State Characterizer (TQSC) model for noisy RSP experiments. Our model reconstructs experimentally prepared pure and mixed photonic polarization states from noisy measurements in complex scattering environments, while its attention patterns provide physically grounded insights into correlations among the measured observables. The method achieves a mean estimator-target fidelity exceeding ...
| Authors | Bo Tang, Zixuan Liao, Hao Li et al. |
|---|---|
| Primary category | quant-ph |
| Published | 17 September 2026 |
| Last updated at source | 19 September 2026 |
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