Practical continuous-variable quantum key distribution using dynamic digital signal processing: security proof and experimental demonstration
- URL: http://arxiv.org/abs/2602.05206v1
- Date: Thu, 05 Feb 2026 02:03:56 GMT
- Title: Practical continuous-variable quantum key distribution using dynamic digital signal processing: security proof and experimental demonstration
- Authors: Lu Fan, Zhengyu Li, Sheng Liu, Xuesong Xu, Tianyu Zhang, Jiale Mi, Dong Wang, Dechao Zhang, Han Li, Song Yu, Yichen Zhang,
- Abstract summary: This work provides the essential security framework for dynamic digital signal processing.<n>It overcomes a critical impediment for the development of high-performance continuous-variable quantum key distribution systems.
- Score: 26.649791485929203
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Digital signal processing technology has paved the way for the realization of high-speed continuous-variable quantum key distribution systems. However, existing security proofs are limited to static digital signal processing algorithms, while practical systems rely on dynamic multiple-input multiple-output algorithms to compensate for time-varying channel impairments. Our analysis reveals that the conventional dynamic algorithm, due to its non-unitary nature, systematically underestimates the excess noise, which in turn leads to security issues and the generation of insecure keys. To close this gap, we propose a secure algorithm model, mapping the dynamic algorithm to an equivalent physical optical model whose security can be rigorously assessed. Simulations illustrate the algorithm's non-unitary property and provide a quantitative analysis of the excess noise underestimation caused by the conventional algorithm. We further experimentally validate the necessity of the proposed modeling for dynamic digital signal processing, achieving a secret key rate of 14.4 Mbps based on estimated excess noise of 0.07 shot noise unit; whereas the conventional algorithm would have dangerously overestimated the key rate to 28.2 Mbps with noise of 0.008 shot noise unit. This work provides the essential security framework for dynamic digital signal processing, overcoming a critical impediment for the development of high-performance continuous-variable quantum key distribution systems.
Related papers
- Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing [68.35481158940401]
CL-QAS is a continual quantum architecture search framework.<n>It mitigates challenges of costly encoding amplitude and forgetting in variational quantum circuits.<n>It achieves controllable robustness expressivity, sample-efficient generalization, and smooth convergence without barren plateaus.
arXiv Detail & Related papers (2026-01-10T02:36:03Z) - Uncovering and Circumventing Noise in Quantum Algorithms via Metastability [0.0]
Noise is the primary challenge in realizing fault-tolerant quantum computers.<n>We experimentally validate a novel strategy to circumvent noise by exploiting the phenomenon of metastability.<n>We demonstrate that if quantum hardware noise exhibits metastability, both digital and analog algorithms can be designed in a noise-aware fashion.
arXiv Detail & Related papers (2025-11-12T23:55:27Z) - RAPID Quantum Detection and Demodulation of Covert Communications: Breaking the Noise Limit with Solid-State Spin Sensors [5.246986428523558]
We introduce a comprehensive framework for the detection and demodulation of covert electromagnetic signals using solid-state spin sensors.<n>Our approach, named RAPID, is a two-stage hybrid strategy that leverages nitrogen-vacancy centers to operate below the classical noise floor.<n>This work establishes a theoretically rigorous and practically viable pathway for deploying quantum sensors in security-critical applications such as electronic warfare and covert surveillance.
arXiv Detail & Related papers (2025-09-09T22:12:28Z) - Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise [49.97673761305336]
Noise remains a major obstacle to achieving reliable quantum algorithms.<n>We present a provably noise-resilient training theory and algorithm to enhance the robustness of parameterized quantum circuit classifiers.
arXiv Detail & Related papers (2025-05-24T02:51:34Z) - Practical Application of the Quantum Carleman Lattice Boltzmann Method in Industrial CFD Simulations [44.99833362998488]
This work presents a practical numerical assessment of a hybrid quantum-classical approach to CFD based on the Lattice Boltzmann Method (LBM)<n>We evaluate this method on three benchmark cases featuring different boundary conditions, periodic, bounceback, and moving wall.<n>Our results confirm the validity of the approach, achieving median error fidelities on the order of $10-3$ and success probabilities sufficient for practical quantum state sampling.
arXiv Detail & Related papers (2025-04-17T15:41:48Z) - Efficient learning and optimizing non-Gaussian correlated noise in digitally controlled qubit systems [1.5293427903448027]
We show how to achieve higher-order spectral estimation for noise-optimized circuit design.<n>Remarkably, we find that the digitally driven qubit dynamics can be solely determined by the complexity of the applied control.
arXiv Detail & Related papers (2025-02-08T02:09:40Z) - Non-zero noise extrapolation: accurately simulating noisy quantum circuits with tensor networks [0.15749416770494704]
We develop and test a method for significantly improving the accuracy of tensor network simulations of noisy quantum circuits.<n>Our method comes with the advantages that it (i.e. high gate-fidelity) is especially tailored to the low-noise regime.
arXiv Detail & Related papers (2025-01-22T21:42:24Z) - Harnessing high-dimensional temporal entanglement using limited interferometric setups [41.94295877935867]
We develop the first complete analysis of high-dimensional entanglement in the polarization-time-domain.
We show how to efficiently certify relevant density matrix elements and security parameters for Quantum Key Distribution.
We propose a novel setup that can further enhance the noise resistance of free-space quantum communication.
arXiv Detail & Related papers (2023-08-08T17:44:43Z) - AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios [51.94807626839365]
We propose the attention-inspired numerical solver (AttNS) to solve differential equations due to limited data.<n>AttNS is inspired by the effectiveness of attention modules in Residual Neural Networks (ResNet) in enhancing model generalization and robustness.
arXiv Detail & Related papers (2023-02-05T01:39:21Z) - Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal
Abstractions [59.605246463200736]
We present a novel controller synthesis method that does not rely on any explicit representation of the noise distributions.
First, we abstract the continuous control system into a finite-state model that captures noise by probabilistic transitions between discrete states.
We use state-of-the-art verification techniques to provide guarantees on the interval Markov decision process and compute a controller for which these guarantees carry over to the original control system.
arXiv Detail & Related papers (2023-01-04T10:40:30Z) - Digital noise spectroscopy with a quantum sensor [57.53000001488777]
We introduce and experimentally demonstrate a quantum sensing protocol to sample and reconstruct the auto-correlation of a noise process.
Walsh noise spectroscopy method exploits simple sequences of spin-flip pulses to generate a complete basis of digital filters.
We experimentally reconstruct the auto-correlation function of the effective magnetic field produced by the nuclear-spin bath on the electronic spin of a single nitrogen-vacancy center in diamond.
arXiv Detail & Related papers (2022-12-19T02:19:35Z) - Machine Learning assisted excess noise suppression for
continuous-variable quantum key distribution [10.533604439090514]
An excess noise suppression scheme based on equalization is proposed.
In this scheme, the distorted signals can be corrected through equalization assisted by a neural network and pilot tone.
The experimental results show that the scheme can suppress the excess noise to a lower level, and has a significant performance improvement.
arXiv Detail & Related papers (2022-07-21T12:31:13Z) - Continuous-mode quantum key distribution with digital signal processing [7.261178075085931]
We propose a method of analyzing continuous-mode state processing by linear DSP via temporal-modes theory.
The proposed practicality oriented security analysis method paves the way for building classical compatible digital CVQKD.
arXiv Detail & Related papers (2022-07-11T16:32:08Z) - Quantum algorithms for quantum dynamics: A performance study on the
spin-boson model [68.8204255655161]
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator.
variational quantum algorithms have become an indispensable alternative, enabling small-scale simulations on present-day hardware.
We show that, despite providing a clear reduction of quantum gate cost, the variational method in its current implementation is unlikely to lead to a quantum advantage.
arXiv Detail & Related papers (2021-08-09T18:00:05Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.