scholarly journals Polarization control algorithm for QKD systems

2021 ◽  
Vol 2086 (1) ◽  
pp. 012092
Author(s):  
E E Mekhtiev ◽  
I S Gerasin ◽  
N V Rudavin ◽  
A V Duplinsky ◽  
Y V Kurochkin
Keyword(s):  
Real Time ◽  
Quantum Channel ◽  
Gradient Descent ◽  
Control Algorithm ◽  
Continuous Operation ◽  
Polarization Controller ◽  
Fiber System ◽  
Polarization Control ◽  
Polarization Encoding ◽  
Proper Operation

Abstract The crucial task for polarization-encoding fiber QKD is to compensate polarization drift occurring in a quantum channel. To solve this problem, the receiver usually uses a polarization controller. For proper operation, this device must be efficiently managed in real-time. In this work, a gradient-descent-based algorithm is proposed to solve this problem. The algorithm was implemented and tested on a QRate commercial QKD fiber system, that utilizes BB84-protocol. Low and stable QBER has been obtained during a day of continuous operation.

Real-Time Polarization Control Algorithm under Non-Ideal Situation

2013 ◽  
Vol 50 (9) ◽  
pp. 090604
Author(s):  
张启业 Zhang Qiye ◽  
朱勇 Zhu Yong ◽  
苏洋 Su Yang ◽  
王德双 Wang Deshuang ◽  
杨龙 Yang Long
Keyword(s):  
Real Time ◽  
Control Algorithm ◽  
Polarization Control ◽  
Ideal Situation

scholarly journals An intelligent method for solar flare observation

2012 ◽  
Vol 8 (S294) ◽  
pp. 503-504
Author(s):  
Jia Ben Lin ◽  
Juan Guo ◽  
Yuan Yong Deng
Keyword(s):  
Fine Structure ◽  
Solar Flare ◽  
Real Time ◽  
Structure Data ◽  
Control Algorithm ◽  
Simulation Experiment ◽  
Hard Disk ◽  
Solar Observatory ◽  
Explosive Phase

AbstractTo capture the fine structure of the flare kernel during it's explosive phase, we design a real time flare onset detecting algorithm named Near Saturation Area Threshold(NSAT), And an automatic CCD parameters control algorithm for the observing software. All the data from CCD, 48f/s, could be saved to the hard disk, and the GPS time of the flare onset also be saved in the log. These methods could avoid the data overflow and grab the fine structure data of the flare kernel. The simulation experiment works well and the software will be put into use in Huairou Solar Observatory soon.

scholarly journals Fast beam steering with full polarization control using a galvanometric optical scanner and polarization controller

2012 ◽  
Vol 20 (11) ◽  
pp. 12247 ◽  
Author(s):  
M. Jofre ◽  
G. Anzolin ◽  
F. Steinlechner ◽  
N. Oliverio ◽  
J. P. Torres ◽  
...  
Keyword(s):  
Beam Steering ◽  
Polarization Controller ◽  
Polarization Control ◽  
Optical Scanner

scholarly journals Predicting Traffic Dynamics with Driver Response Model for Proactive Variable Speed Limit Control Algorithm

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Huixuan Ye ◽  
Lili Tu ◽  
Jie Fang
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Control Algorithm ◽  
Field Data ◽  
Speed Limit ◽  
Response Model ◽  
Variable Speed ◽  
Variable Speed Limit ◽  
Driver Response ◽  
Traffic State

Variable Speed Limit (VSL) control contributes to potential crash risk reduction by suggesting a suitable dynamic speed limit to achieve more stable and uniform traffic flow. In recent studies, researchers adopted macroscopic traffic flow models and perform prediction-based optimal VSL control. The response of drivers to the advised VSL is one of the most critical parameters in VSL-controlled speed dynamics modeling, which significantly affects the accuracy of traffic state prediction as well as the control reliability and performance. Nevertheless, the variations of driver responses were not explicitly modeled. Thus, in this research, the authors proposed a dynamic driver response model to formulate how the drivers respond to the advised VSL during various traffic conditions. The model was established and calibrated using field data to quantitatively analyze the dynamics of drivers’ desired speed regarding the advised VSL and current traffic state variables. A proactive VSL control algorithm incorporating the established driver response model was designed and implemented in field-data-based simulation study. The design proactive control algorithm modifies VSL in real-time according to the traffic state prediction results, aiming to reduce potential crash risks over the experiment site. By taking into account the real-time driver response variations, the VSL-controlled traffic state dynamics was more accurately predicted. The experimental results illustrated that the proposed control algorithm effectively reduces the crash probabilities in the traffic network.

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