5
talks
1
posters
4
committee roles
1
leadership roles
2008–2025
years active
Contributions
QIP QCrypt TQC presenter award · △program ◇steering ○organising □local · filled = chair
Talks
| Title | Conference | Type | Co-authors |
|---|---|---|---|
| Fully-Passive Quantum Key Distribution | QCRYPT 2022 | regular | Wenyuan Wang, Rong Wang, Víctor Zapatero, Li Qian, Marcos Curty, Hoi-Kwong Lo |
| Discrete-variable quantum key distribution using conjugate homodyne detection | QCRYPT 2021 | invited ▸ presenter | — |
| Experimental demonstration of polarization encoding measurement-device-independent quantum key distribution | QCRYPT 2013 | regular | ▸Zhiyuan Tang, Zhongfa Liao, Feihu Xu, Li Qian, Hoi-Kwong Lo |
| A high speed quantum random number generator with quantum phase noise | QCRYPT 2011 | regular | ▸Feihu Xu, Xiongfeng Ma, He Xu, Haoxuan Zheng, Hoi-Kwong Lo |
| Quantum hacking: experimental demonstration of time-shift attack | QIP 2008 | regular | ▸Yi Zhao, Fred Fung, Christine Chen, Hoi-Kwong Lo |
Posters
| Title | Conference | Co-authors |
|---|---|---|
| Detector noise in continuous-variable quantum key distribution | QCRYPT 2025 | Shihong Pan, Dimitri Monokandylos |
Detector noise is a critical factor in determining the performance of a quantum key distribution
(QKD) system. In continuous-variable (CV) QKD with optical coherent detection, the trusted detector noise model is widely used to enhance both the secret key rate and transmission distance. This model assumes that noise from the coherent detector is inherently random and cannot be accessed or manipulated by an adversary. Its validity rests on two key assumptions: (1) the detector can be accurately calibrated by the legitimate user and remains isolated from the adversary, and (2) the detector noise is truly random. So far, extensive research has focused on detector calibration and countermeasures against detector side-channel attacks. However, there is no strong evidence supporting assumption (2). In this paper, we analyze the electrical noise of a commercial balanced Photoreceiver, which has been applied in CV-QKD implementations, and demonstrate that assumption (2) is unjustified. To address this issue, we propose a “calibrated detector noise” model for CV-QKD, which relies solely on assumption (1). Numerical simulations comparing different noise models indicate that the new model can achieve a secret key rate comparable to the trusted-noise
model, without depending on the questionable assumption of “truly random” detector noise. |
||
Committee service
| Conference | Committee | Position | Title |
|---|---|---|---|
| QCRYPT 2025 | PC | member | PC Member |
| QCRYPT 2024 | PC | co_chair | — |
| QCRYPT 2022 | PC | member | — |
| QCRYPT 2020 | PC | member | — |
Collaborators
| Co-author | Joint talks |
|---|---|
| Hoi-Kwong Lo | 4 |
| Feihu Xu | 2 |
| Li Qian | 2 |
| Christine Chen | 1 |
| Dimitri Monokandylos | 1 |
| Fred Fung | 1 |
| Haoxuan Zheng | 1 |
| He Xu | 1 |
| Marcos Curty | 1 |
| Rong Wang | 1 |
| Shihong Pan | 1 |
| Víctor Zapatero | 1 |
| Wenyuan Wang | 1 |
| Xiongfeng Ma | 1 |
| Yi Zhao | 1 |
| Zhiyuan Tang | 1 |
| Zhongfa Liao | 1 |