activity
20152025
most citedQuantum computational advantage using photons

2.3k citations · 3.4k across the 12 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

quant-ph2019

High-speed measurement-device-independent quantum key distribution with integrated silicon photonics

Kejin Wei, Wei Li, Hao Tan +12

Measurement-device-independent quantum key distribution (MDI-QKD) removes all detector side channels and enables secure QKD with an untrusted relay. It is suitable for building a s…

quant-ph2019392 cited

Sending-or-Not-Sending with Independent Lasers: Secure Twin-Field Quantum Key Distribution Over 509 km

Jiu-Peng Chen, Chi Zhang, Yang Liu +15

Twin field quantum key distribution promises high key rates at long distance to beat the rate distance limit. Here, applying the sending or not sending TF QKD protocol, we experime…

quant-ph20191 cited

An entanglement-based quantum network based on symmetric dispersive optics quantum key distribution

Xu Liu, Xin Yao, Rong Xue +9

Quantum key distribution (QKD) is a crucial technology for information security in the future. Developing simple and efficient ways to establish QKD among multiple users are import…

quant-ph2019

Surpassing the rate-transmittance linear bound of quantum key distribution

Xiao-Tian Fang, Pei Zeng, Hui Liu +17

Quantum key distribution (QKD offers a long-term solution to establish information-theoretically secure keys between two distant users. In practice, with a careful characterization…

quant-ph2019

An Experimentally Verified Approach to non-Entanglement-Breaking Channel Certification

Yingqiu Mao, Yi-Zheng Zhen, Hui Liu +14

Ensuring the non-entanglement-breaking (non-EB) property of quantum channels is crucial for the effective distribution and storage of quantum states. However, a practical method fo…

quant-ph201973 cited

Experimental Gaussian Boson Sampling

Han-Sen Zhong, Li-Chao Peng, Yuan Li +15

Gaussian Boson sampling (GBS) provides a highly efficient approach to make use of squeezed states from parametric down-conversion to solve a classically hard-to-solve sampling prob…