Multipartite entanglement enables secure group key distribution among multiple users while providing immunity against hacking attacks targeting source devices, thereby realizing source-independent quantum conference key agreement (SI-QCKA). However, previous experimental demonstrations of SI-QCKA have encountered substantial technical challenges, primarily due to the low efficiency and scalability limitations inherent in the generation and distribution of multipartite entanglement. Here, we experimentally demonstrate a scalable and efficient SI-QCKA protocol using polarization-entangled photon pairs in a 3-user star network, where Greenberger–Horne–Zeilinger correlations are realized via a post-matching method. We achieve a secure group key rate of 2.11 × 104 bits/s under the single-user channel transmission of 1.64 × 10−1 in a symmetric channel loss network. Additionally, we conduct 6 sets of experiments to investigate the impact of varying channel transmission and random basis selection probabilities on secure key rates. Our work establishes an efficient pathway for SI-QCKA and demonstrates potential scalability for future large-scale multiuser quantum networks.
| 1. | Entanglement distribution. In each round, an untrusted central node (Eve) generates polarization-entangled photon pairs in the state . These pairs are distributed with one photon sent to Alice and the other to each user (). |
| 2. | Basis selection and measurement. Each user independently measures the photons in either the basis with probability or the basis with probability . Measurement results are recorded as valid events only when Alice and select the same measurement basis and simultaneously detect photons. |
| 3. | Post-matching and key correlation. Users publicly announce their basis choices. Valid events are grouped according to the chosen basis and sorted by measurement time. The measurement results are ordered and labeled as () for Alice and () for , where corresponds to and denotes the time sequence. |
| 1. | Error correction. The error rate in the X basis is evaluated to quantify the potential information leakage to eavesdroppers. Subsequently, error correction is performed on the raw keys obtained from Z-basis measurements to ensure identical bit strings between the communicating users. |
| 2. | Privacy amplification. To reduce the residual information potentially acquired by an adversary, privacy amplification is applied to the keys. This process compresses the key length according to the estimated information leakage and generates the final secure keys. |
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |