High performance reconciliation for practical quantum key distribution systems

• URL: http://arxiv.org/abs/2101.12565v2
• Date: Mon, 20 Sep 2021 15:13:05 GMT
• Title: High performance reconciliation for practical quantum key distribution systems
• Authors: Hao-Kun Mao, Qiong Li, Peng-Lei Hao, Bassem Abd-El-Atty, Abdullah M. Iliyasu
• Abstract summary: The throughput of up to 570Mbps with an efficiency of 1.038 was achieved, which, to our knowledge, was more than four times faster than any throughput previously demonstrated. Our solution offers good adaptability to the fluctuating communication delay and quantum bit error rate (QBER)
• Score: 3.0623865942628594
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum key distribution (QKD) is a promising technique for secure communication based on quantum mechanical principles. To improve the secure key rate of a QKD system, most studies on reconciliation primarily focused on improving the efficiency. With the increasing performance of QKD systems, the research priority has shifted to the improvement of both throughput and efficiency. In this paper, we propose a high performance solution of Cascade reconciliation, including a high-throughput-oriented framework and an integrated-optimization-oriented scheme. Benefiting from the fully utilizing computation and storage resources, effectively dealing with communication delays, the integrated-optimization-oriented parameters setting, etc., an excellent overall performance was achieved. Experimental results showed that, the throughput of up to 570Mbps with an efficiency of 1.038 was achieved, which, to our knowledge, was more than four times faster than any throughput previously demonstrated. Furthermore, throughputs on real data sets were capable of reaching up to 86Mbps even on embedded platforms. Additionally, our solution offers good adaptability to the fluctuating communication delay and quantum bit error rate (QBER). Based on our study, low performance (i.e. low power-consumption and cost-effective) CPU platforms will be sufficient for reconciliation in the existing and near-term QKD systems.

Related papers

• A Survey on Continuous Variable Quantum Key Distribution for Secure Data Transmission: Toward the Future of Secured Quantum-Networks [0.0]
  Quantum key distribution (QKD) is a cornerstone of secure communication in the quantum era.<n> continuous-variable QKD (CV-QKD) has emerged as a more practical alternative due to its seamless compatibility with current telecommunications infrastructure.<n>CV-QKD relies on coherent and squeezed states of light, offering significant advantages for integration into modern optical networks.
  arXiv  Detail & Related papers  (2025-06-25T19:58:44Z)
• HAQA: A Hardware-Guided and Fidelity-Aware Strategy for Efficient Qubit Mapping Optimization [13.658067843596733]
  Existing mapping methods overlook intractable quantum hardware fidelity characteristics, reducing circuit execution quality. We propose a novel qubit mapping method HAQA, which integrates hardware fidelity information into the mapping process, enabling fidelity qubit allocation. When applied to state-of-the-art quantum mapping techniques, HAQA achieves acceleration ratios of 632.76 and 286.87 respectively, while improving fidelity by up to 52.69% and 238.28%.
  arXiv  Detail & Related papers  (2025-04-23T07:27:27Z)
• Gigabit-rate Quantum Key Distribution on Integrated Photonic Chips [17.76925769483522]
  Quantum key distribution (QKD) provides information-theoretic security guaranteed by the laws of quantum mechanics. We report an integrated silicon photonics-based QKD system that achieves a secret key rate of 1.213 Gbit per second over a metropolitan distance of 10 km with polarization multiplexing.
  arXiv  Detail & Related papers  (2025-04-11T06:57:16Z)
• Towards Scalable Quantum Key Distribution: A Machine Learning-Based Cascade Protocol Approach [2.363573186878154]
  Quantum Key Distribution (QKD) is a pivotal technology in the quest for secure communication. Traditional key rate determination methods, dependent on complex mathematical models, often fall short in efficiency and scalability. We propose an approach that involves integrating machine learning (ML) techniques with the Cascade error correction protocol.
  arXiv  Detail & Related papers  (2024-09-12T13:40:08Z)
• Performance of Cascade and LDPC-codes for Information Reconciliation on Industrial Quantum Key Distribution Systems [69.47813697920358]
  We analyze, simulate, optimize, and compare the performance of two prevalent algorithms used for Information Reconciliation. We focus on their applicability in practical and industrial settings, operating in realistic and application-close conditions.
  arXiv  Detail & Related papers  (2024-08-28T12:51:03Z)
• Bayesian Parameterized Quantum Circuit Optimization (BPQCO): A task and hardware-dependent approach [49.89480853499917]
  Variational quantum algorithms (VQA) have emerged as a promising quantum alternative for solving optimization and machine learning problems. In this paper, we experimentally demonstrate the influence of the circuit design on the performance obtained for two classification problems. We also study the degradation of the obtained circuits in the presence of noise when simulating real quantum computers.
  arXiv  Detail & Related papers  (2024-04-17T11:00:12Z)
• Boosting quantum key distribution via the end-to-end loss control [0.0]
  We show a remarkable improvement in the quantum key distribution (QKD) performance using end-to-end line tomography. Our approach is based on the real-time detection of interventions in the transmission channel. Our findings provide everlastingly secure efficient quantum cryptography deployment.
  arXiv  Detail & Related papers  (2023-08-07T17:32:14Z)
• Single entanglement connection architecture between multi-layer bipartite Hardware Efficient Ansatz [18.876952671920133]
  We propose a single entanglement connection architecture (SECA) for a bipartite hardware efficient ansatz. Our results indicate the superiority of SECA over the common full entanglement connection architecture (FECA) in terms of computational performance.
  arXiv  Detail & Related papers  (2023-07-23T13:36:30Z)
• Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learning [63.83425382922157]
  Intelligent reflecting surface (IRS) is envisioned to be widely applied in future wireless networks. In this paper, we investigate a multi-user communication system assisted by cooperative IRS devices with the capability of energy harvesting.
  arXiv  Detail & Related papers  (2022-03-26T20:37:14Z)
• Automated machine learning for secure key rate in discrete-modulated continuous-variable quantum key distribution [1.805579209946251]
  Continuous-variable quantum key distribution (CV QKD) with discrete modulation has attracted increasing attention due to its experimental simplicity. numerical methods have been proposed to analyze the security of these protocols against collective attacks. To improve this issue, a neural network model predicting key rates in nearly real time has been proposed previously.
  arXiv  Detail & Related papers  (2022-01-24T02:21:28Z)
• Quantum circuit architecture search on a superconducting processor [56.04169357427682]
  Variational quantum algorithms (VQAs) have shown strong evidences to gain provable computational advantages for diverse fields such as finance, machine learning, and chemistry. However, the ansatz exploited in modern VQAs is incapable of balancing the tradeoff between expressivity and trainability. We demonstrate the first proof-of-principle experiment of applying an efficient automatic ansatz design technique to enhance VQAs on an 8-qubit superconducting quantum processor.
  arXiv  Detail & Related papers  (2022-01-04T01:53:42Z)
• Practical Continuous-variable Quantum Key Distribution with Feasible Optimization Parameters [19.571035318944674]
  Continuous-variable quantum key distribution (CV-QKD) offers an approach to achieve a potential high secret key rate (SKR) in metropolitan areas. Here, a systematic optimization method, combining the modulation variance and error correction matrix optimization, is proposed to improve the performance of a practical CV-QKD system. The results show that the SKR of a CV-QKD system can be improved by 24% and 200% compared with previous frequently used optimization methods theoretically with a transmission distance of 50 km.
  arXiv  Detail & Related papers  (2021-11-25T06:48:54Z)
• Quantum circuit architecture search for variational quantum algorithms [88.71725630554758]
  We propose a resource and runtime efficient scheme termed quantum architecture search (QAS) QAS automatically seeks a near-optimal ansatz to balance benefits and side-effects brought by adding more noisy quantum gates. We implement QAS on both the numerical simulator and real quantum hardware, via the IBM cloud, to accomplish data classification and quantum chemistry tasks.
  arXiv  Detail & Related papers  (2020-10-20T12:06:27Z)
• Toward fast and accurate human pose estimation via soft-gated skip connections [97.06882200076096]
  This paper is on highly accurate and highly efficient human pose estimation. We re-analyze this design choice in the context of improving both the accuracy and the efficiency over the state-of-the-art. Our model achieves state-of-the-art results on the MPII and LSP datasets.
  arXiv  Detail & Related papers  (2020-02-25T18:51:51Z)

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.