High-Efficient Syndrome-Based LDPC Reconciliation for Quantum Key Distribution
Quantum key distribution (QKD) is a promising technique to share unconditionally secure keys between remote parties. As an essential part of a practical QKD system, reconciliation is responsible for correcting the errors due to the quantum channel noise by exchanging information through a public cla...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/23/11/1440 |
| _version_ | 1797510441635676160 |
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| author | Hao-Kun Mao Yu-Cheng Qiao Qiong Li |
| author_facet | Hao-Kun Mao Yu-Cheng Qiao Qiong Li |
| author_sort | Hao-Kun Mao |
| collection | DOAJ |
| description | Quantum key distribution (QKD) is a promising technique to share unconditionally secure keys between remote parties. As an essential part of a practical QKD system, reconciliation is responsible for correcting the errors due to the quantum channel noise by exchanging information through a public classical channel. In the present work, we propose a novel syndrome-based low-density parity-check (LDPC) reconciliation protocol to reduce the information leakage of reconciliation by fully utilizing the syndrome information that was previously wasted. Both theoretical analysis and simulation results show that our protocol can evidently reduce the information leakage as well as the number of communication rounds. |
| first_indexed | 2024-03-10T05:31:32Z |
| format | Article |
| id | doaj.art-709198ac0f3748bfadc67b16d580635d |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T05:31:32Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-709198ac0f3748bfadc67b16d580635d2023-11-22T23:15:00ZengMDPI AGEntropy1099-43002021-10-012311144010.3390/e23111440High-Efficient Syndrome-Based LDPC Reconciliation for Quantum Key DistributionHao-Kun Mao0Yu-Cheng Qiao1Qiong Li2Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150080, ChinaGuangxi Key Lab Cryptography & Information Security, Guilin University of Electronic Technology, Guilin 541004, ChinaDepartment of Computer Science and Technology, Harbin Institute of Technology, Harbin 150080, ChinaQuantum key distribution (QKD) is a promising technique to share unconditionally secure keys between remote parties. As an essential part of a practical QKD system, reconciliation is responsible for correcting the errors due to the quantum channel noise by exchanging information through a public classical channel. In the present work, we propose a novel syndrome-based low-density parity-check (LDPC) reconciliation protocol to reduce the information leakage of reconciliation by fully utilizing the syndrome information that was previously wasted. Both theoretical analysis and simulation results show that our protocol can evidently reduce the information leakage as well as the number of communication rounds.https://www.mdpi.com/1099-4300/23/11/1440quantum key distributionblind reconciliationlow density parity checksyndrome |
| spellingShingle | Hao-Kun Mao Yu-Cheng Qiao Qiong Li High-Efficient Syndrome-Based LDPC Reconciliation for Quantum Key Distribution Entropy quantum key distribution blind reconciliation low density parity check syndrome |
| title | High-Efficient Syndrome-Based LDPC Reconciliation for Quantum Key Distribution |
| title_full | High-Efficient Syndrome-Based LDPC Reconciliation for Quantum Key Distribution |
| title_fullStr | High-Efficient Syndrome-Based LDPC Reconciliation for Quantum Key Distribution |
| title_full_unstemmed | High-Efficient Syndrome-Based LDPC Reconciliation for Quantum Key Distribution |
| title_short | High-Efficient Syndrome-Based LDPC Reconciliation for Quantum Key Distribution |
| title_sort | high efficient syndrome based ldpc reconciliation for quantum key distribution |
| topic | quantum key distribution blind reconciliation low density parity check syndrome |
| url | https://www.mdpi.com/1099-4300/23/11/1440 |
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