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Self-Tuning Transmitter for Quantum Key Distribution Using Machine Intelligence
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DOI：10.1103/PhysRevApplied.18.034087.png)
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The development and performance of quantum technologies heavily relies on the properties of the quantum states, which often require careful optimization of the driving conditions of all underlying com-ponents. In quantum key distribution (QKD), optical injection locking (OIL) of pulsed lasers has recently been shown as a promising technique to realize high-speed quantum transmitters with efficient system design. However, due to the complex underlying laser dynamics, tuning such laser system is both a chal-lenging and time-consuming task. Here, we experimentally demonstrate an OIL-based QKD transmitter that can be automatically tuned to its optimum operating state by employing a genetic algorithm. Starting with minimal knowledge of the laser operating parameters, the phase coherence and the quantum bit error rate of the system are optimized autonomously to a level matching the state of the art.
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OPTIMIZATION
SECURITY
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4.4
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7.1K
被引数:
2.8W
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引用论文
Gigahertz measurement-device-independent quantum key distribution using directly modulated lasers
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PHYSICAL REVIEW XOAAI
PHYSICAL REVIEW XIF15.7
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