Performance analysis for OFDM-based multi-carrier continuous-variable quantum key distribution with arbitrary modulation protocol
Heng Wang, Yan Pan, Yun Shao, Yaodi Pi, Ting Ye, Yang Li, Tao Zhang,, Jinlu Liu, Jie Yang, Li Ma, Wei Huang, Bingjie Xu

TL;DR
This paper develops a noise model for multi-carrier CV-QKD using OFDM, demonstrating that increasing the number of carriers can enhance secret key rates despite practical modulation imperfections.
Contribution
It introduces a systematic modulation noise model for multi-carrier CV-QKD with arbitrary modulation protocols, enabling performance evaluation and optimization.
Findings
Increasing carrier number N improves SKR.
SKR can be optimized by choosing N carefully.
The model supports future experimental implementations.
Abstract
Multi-carrier continuous-variable quantum key distribution (CV-QKD) is considered to be a promising way to boost the secret key rate (SKR) over the existing single-carrier CV-QKD scheme. However, the extra excess noise induced in the imperfect multi-carrier quantum state preparation process of N subcarriers will limit the performance of the system. Here, a systematic modulation noise model is proposed for the multi-carrier CV-QKD based on the orthogonal frequency division multiplexing (OFDM). Subsequently, the performance of multi-carrier CV-QKD with arbitrary modulation protocol (e.g. QPSK, 256QAM and Gaussian modulation protocol) can be quantitatively evaluated by combining the security analysis method of the single-carrier CV-QKD. Under practical system parameters, the simulation results show that the SKR of the multi-carrier CV-QKD can still be significantly improved by increasing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum-Dot Cellular Automata
