Detector noise in continuous-variable quantum key distribution

TL;DR

This paper introduces a calibrated detector noise model for continuous-variable quantum key distribution that relies on detector isolation rather than randomness, aligning more realistically with potential adversary knowledge.

Contribution

It proposes a new noise model based on detector isolation, challenging the assumption of inherently random detector noise in CV-QKD.

Findings

Calibrated noise model performs comparably to trusted noise model at low noise variance.

Numerical simulations validate the effectiveness of the proposed model.

Model eliminates the need for the assumption of truly random detector noise.

Abstract

In continuous-variable (CV) QKD with optical coherent detection, the widely adopted \textit{trusted detector noise} model improves both the secret key rate and the transmission distance. This model assumes that detector noise is inherently random and inaccessible to an adversary. While substantial research has focused on shielding the detector, it is far more difficult to justify the adversary's ignorance of the detector noise. In this paper, we introduce a \textit{calibrated detector noise} model for CV-QKD, which relies solely on the isolation of the detector from the adversary's intervention. Specifically, our model applies even when detector noise is predictable to the adversary. We analyze the electrical noise of a commercial balanced photoreceiver and perform numerical simulations to compare different noise models. Our results show that when the detector noise variance is an order of magnitude below the vacuum noise, the proposed model achieves a secret key rate comparable to that of the trusted detector noise model, while eliminating the questionable assumption of ``truly random'' detector noise.