activity
20172021
most citedEntanglement and its relationship to classical dynamics

41 citations · 49 across the 2 of their papers we have counts for

collaborators

10 papers

quant-ph2021

Dimension Reduction in Quantum Key Distribution for Continuous- and Discrete-Variable Protocols

Twesh Upadhyaya, Thomas van Himbeeck, Jie Lin +1

We develop a method to connect the infinite-dimensional description of optical continuous-variable quantum key distribution (QKD) protocols to a finite-dimensional formulation. The…

quant-ph2020

Trusted detector noise analysis for discrete modulation schemes of continuous-variable quantum key distribution

Jie Lin, Norbert Lütkenhaus

Discrete-modulated continuous-variable quantum key distribution protocols are promising candidates for large-scale deployment due to the large technological overlap with deployed m…

quant-ph2020

Numerical Calculations of Finite Key Rate for General Quantum Key Distribution Protocols

Ian George, Jie Lin, Norbert Lütkenhaus

Finite key analysis of quantum key distribution (QKD) is an important tool for any QKD implementation. While much work has been done on the framework of finite key analysis, the ap…

quant-ph2020

Security proof of practical quantum key distribution with detection-efficiency mismatch

Yanbao Zhang, Patrick J. Coles, Adam Winick +2

Quantum key distribution (QKD) protocols with threshold detectors are driving high-performance QKD demonstrations. The corresponding security proofs usually assume that all physica…

quant-ph20198 cited

Quantum search for unknown number of target items hybridizing the fixed-point method with the trail-and-error method

Tan Li, Shuo Zhang, Xiang-Qun Fu +4

For the unsorted database quantum search with the unknown fraction of target items, there are mainly two kinds of methods, i.e., fixed-point or trail-and-error. (i) In terms of…

quant-ph2019

Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions

Jie Lin, Dan-Bo Zhang, Shuo Zhang +3

Quantum algorithms can enhance machine learning in different aspects. Here, we study quantum-enhanced least-square support vector machine (LS-SVM). Firstly, a novel quantum algorit…