Jiayu Ma

Local local oscillator (LLO) continuous-variable quantum key distribution (CV-QKD) offers enhanced security and simplified implementation compared to transmitting local oscillator (TLO) schemes, but generally requires high-power pilot tones for carrier phase recovery. Among various LLO schemes, the sequential LLO scheme features low hardware complexity, yet suffers from limited quantum signal repetition frequency due to its alternating pilot-signal structure, which reduces the secret key rate. To address this, we propose an optimized scheme that increases the proportion of quantum signals and applies exponentially weighted phase prediction. A particle filter (PF)-based algorithm is further introduced to compensate for reduced pilot tone ratio. Experimental results over 30 km fiber demonstrate that the optimized scheme suppresses excess noise below 0.008 SNU, stabilizes transmittance around 0.25, and improves the secret key rate by over 147%, even when accounting for algorithmic complexity.

Quantum networks provide opportunities and challenges across a range of intellectual and technical frontiers, including quantum computation, communication and others. Unlike traditional communication networks, quantum networks utilize quantum bits rather than classical bits to store and transmit information. As an important part of the networks, the access network can connect multiple end users to the backbone network and provide the so-called last-mile service. In our work, the first four-end-users quantum downstream access network in continuous variable quantum key distribution with a local local oscillator has been experimentally demonstrated. Our results show that each user can get a low level of excess noise and can achieve secret key rate of 546 kbps, 535 kbps, 522.5 kbps and 512.5 kbps under transmission distance of 10 km, respectively with the finite-size block of 1×10⁸. More importantly, the successful demonstration of our quantum downstream access network also paves the way for secure broadband metropolitan and quantum networks.