Optimal Asymmetric Controlled Teleportation Protocol Under Correlated and Uncorrelated Amplitude Damping Noises
In this paper, an optimal asymmetric controlled teleportation protocol is proposed, where a three-dimensional (3D) GHZ entangled state is utilized to teleport an arbitrary unknown two-dimensional (2D) qubit and the correlation between the two entangled qutrits caused by their continuous transmission through a noisy channel is considered. We design a high-dimensional feed-forward control operator and use weak measurement reversal instead of the unitary operations in standard teleportation to mitigate the reduction in fidelity caused by noise. We further derive the average fidelity and overall success probability of the proposed teleportation protocol, and simulate its performance under correlated amplitude damping (CAD) and amplitude damping (AD) noise channels. The simulation results show that our protocol significantly improves the average fidelity under CAD noise. In particular, under AD noise, the average fidelity remains constant at 1. Moreover, we derive the optimal overall success probability without compromising fidelity. To verify the superiority of the feed-forward control method, we also calculate and analyze the performance of an asymmetric controlled teleportation protocol using only environment-assisted measurement (EAM), and compare it with the performance of our protocol through simulation. The results demonstrate that our protocol outperforms the protocol using only EAM methods in both CAD and AD noise.
Authors
- Sen Kuang (ORCID: https://orcid.org/0000-0002-4847-565X)
- Peiyao Zhang (ORCID: https://orcid.org/0009-0004-8225-0851)
- Xiaofeng Jiang (ORCID: https://orcid.org/0000-0001-7595-2397)
Institutions
- University of Science and Technology of China (CN)
Publication Details
- Journal
- IEEE Transactions on Communications
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1109/tcomm.2025.3595757
- Citations
- 1
- Primary Topic
- Energy Efficient Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 1.49
Funders
- National Natural Science Foundation of China