Related Experiment Video
Updated: Aug 15, 2026

Doppler Ultrasound-Based Leg Blood Flow Assessment During Single-Leg Knee-Extensor Exercise in an Uncontrolled Setting
Published on: December 15, 2023
Reliability-driven framework for multidimensional reconciliation in CV-QKD
Abstract:
In multidimensional reconciliation (MR) of continuous-variable quantum key distribution (CV-QKD) systems, the performance of conventional schemes is often limited by unreliable Gaussian-modulated coherent states (GMCSs). In this paper, we propose a reliability-driven preprocessing framework for MR. The proposed framework introduces a multi-step sample interleaver that redistributes GMCSs to increase intra-vector reliability while reducing the reliability imbalance across vectors. In addition, a bit-allocation strategy is designed to align the reliability of the soft information generated by MR with the reliability requirements of the employed forward error correction (FEC) codes. To further reduce implementation overhead, simplified log-likelihood ratio (LLR) estimation methods are also investigated. Simulation results demonstrate that the proposed scheme significantly improves the frame error rate (FER) performance compared with conventional schemes, while introducing only negligible additional latency, thereby extending the achievable transmission distance of CV-QKD systems.
Related Concept Videos
Distribution Reliability and Automation
Reliability and Validity
Kendall's Coefficient of Concordance
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
Detection of Gross Error: The Q Test
Collisions in Multiple Dimensions: Problem Solving
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...