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SN Computer Science

Quantum Key Distribution Using Variational Quantum Algorithms

Salim Salmi, Abdelkrim Khartoch, Lahcen Oughdir, Anass El Affar

Published Jun 19, 2026• 0 citations
Publisher
DOI
10.1007/s42979-026-05136-9

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Quantum Key Distribution (QKD) systems face challenges due to quantum state drift caused by environmental variations. This paper introduces a phase drift compensation algorithm for QKD systems based on Long Short Term Memory (LSTM) networks. This algorithm only learns, predicts, and compensates for phase drift from intermediate data generated during QKD transmission, without the need for additional data acquisition modules such as environmental monitoring. The experimental results show that the algorithm has high accuracy in tracking phase drift. It performs well on the test set and can accurately match actual scanned data. When implemented in practical GHz QKD systems, this algorithm can increase transmission efficiency by 15 % without reducing the bit error rate. In addition, as the algorithm does not rely on environmental monitoring equipment or high-intensity emission light conditions, it enhances the security of the system and reduces potential security risks.