Adaptive measurements in nonorthogonal state discrimination

2012 ◽  
Author(s):  
F. E. Becerra ◽  
A. Migdall
Keyword(s):  
State Discrimination ◽  
Adaptive Measurements ◽  
Nonorthogonal State

Nonorthogonal State Discrimination Below The Homodyne Limit

2011 ◽  
Author(s):  
F. E. Becerra ◽  
J. Fan ◽  
G. Baumgartner ◽  
S. Polyakov ◽  
Goldhar ◽  
...  
Keyword(s):  
State Discrimination ◽  
Nonorthogonal State

Experimental demonstration of a receiver beating the standard quantum limit for multiple nonorthogonal state discrimination

2013 ◽  
Vol 7 (2) ◽  
pp. 147-152 ◽  
Author(s):  
F. E. Becerra ◽  
J. Fan ◽  
G. Baumgartner ◽  
J. Goldhar ◽  
J. T. Kosloski ◽  
...  
Keyword(s):  
Quantum Limit ◽  
Experimental Demonstration ◽  
Standard Quantum ◽  
Standard Quantum Limit ◽  
State Discrimination ◽  
Nonorthogonal State

scholarly journals Deep Learning-Based Congestion Detection at Urban Intersections

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2052
Author(s):  
Xinghai Yang ◽  
Fengjiao Wang ◽  
Zhiquan Bai ◽  
Feifei Xun ◽  
Yulin Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Optical Flow ◽  
Traffic Congestion ◽  
Detection Algorithm ◽  
Input Image ◽  
Vehicle Speed ◽  
Position Information ◽  
Traffic State ◽  
State Discrimination ◽  
Discrimination Method

In this paper, a deep learning-based traffic state discrimination method is proposed to detect traffic congestion at urban intersections. The detection algorithm includes two parts, global speed detection and a traffic state discrimination algorithm. Firstly, the region of interest (ROI) is selected as the road intersection from the input image of the You Only Look Once (YOLO) v3 object detection algorithm for vehicle target detection. The Lucas-Kanade (LK) optical flow method is employed to calculate the vehicle speed. Then, the corresponding intersection state can be obtained based on the vehicle speed and the discrimination algorithm. The detection of the vehicle takes the position information obtained by YOLOv3 as the input of the LK optical flow algorithm and forms an optical flow vector to complete the vehicle speed detection. Experimental results show that the detection algorithm can detect the vehicle speed and traffic state discrimination method can judge the traffic state accurately, which has a strong anti-interference ability and meets the practical application requirements.

scholarly journals Intrinsic coherence in assisted sub-state discrimination

2017 ◽  
Vol 117 (1) ◽  
pp. 10013 ◽  
Author(s):  
Fu-Lin Zhang ◽  
Teng Wang
Keyword(s):  
State Discrimination

scholarly journals Asymptotic relative submajorization of multiple-state boxes

2021 ◽  
Vol 111 (4) ◽  
Author(s):  
Gergely Bunth ◽  
Péter Vrana
Keyword(s):  
Hypothesis Testing ◽  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Standard Form ◽  
Point Of View ◽  
State Discrimination ◽  
Simple Alternative ◽  
Multiple State ◽  
Error Probabilities

AbstractPairs of states, or “boxes” are the basic objects in the resource theory of asymmetric distinguishability (Wang and Wilde in Phys Rev Res 1(3):033170, 2019. 10.1103/PhysRevResearch.1.033170), where free operations are arbitrary quantum channels that are applied to both states. From this point of view, hypothesis testing is seen as a process by which a standard form of distinguishability is distilled. Motivated by the more general problem of quantum state discrimination, we consider boxes of a fixed finite number of states and study an extension of the relative submajorization preorder to such objects. In this relation, a tuple of positive operators is greater than another if there is a completely positive trace nonincreasing map under which the image of the first tuple satisfies certain semidefinite constraints relative to the other one. This preorder characterizes error probabilities in the case of testing a composite null hypothesis against a simple alternative hypothesis, as well as certain error probabilities in state discrimination. We present a sufficient condition for the existence of catalytic transformations between boxes, and a characterization of an associated asymptotic preorder, both expressed in terms of sandwiched Rényi divergences. This characterization of the asymptotic preorder directly shows that the strong converse exponent for a composite null hypothesis is equal to the maximum of the corresponding exponents for the pairwise simple hypothesis testing tasks.

scholarly journals Network measures for protein folding state discrimination

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Giulia Menichetti ◽  
Piero Fariselli ◽  
Daniel Remondini
Keyword(s):  
Protein Folding ◽  
Network Measures ◽  
State Discrimination ◽  
Folding State

scholarly journals Optimum Mixed-State Discrimination for Noisy Entanglement-Enhanced Sensing

2017 ◽  
Vol 118 (4) ◽  
Author(s):  
Quntao Zhuang ◽  
Zheshen Zhang ◽  
Jeffrey H. Shapiro
Keyword(s):  
Mixed State ◽  
State Discrimination

scholarly journals Service Learning: Mengintegrasikan Tujuan Akademik Dan Pendidikan Karakter Peserta Didik Melalui Pengabdian Kepada Masyarakat

Bakti Budaya ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 143
Author(s):  
Endah Setyowati ◽  
Alviani Permata
Keyword(s):  
Service Learning ◽  
Learning Outcomes ◽  
Community Service ◽  
Teaching Strategies ◽  
Social Problems ◽  
Teaching Approach ◽  
Vulnerable Groups ◽  
Academic Goals ◽  
State Discrimination ◽  
Sustainable Peace

Service learning is a teaching approach that combines academic goals and the character educationthrough community service activities. Teaching strategies through knowledge, experiences, andreflections applied in an interdiciplinary course provide opportunities for students to relate knowledgedirectly from the classroom to community problems with their participation as volunteers in a specifedcommunity. Te community which is chosen as a target group was ftted to the lecture materialswhich emphasized on issues of state discrimination against vulnerable groups and impacts of decreasingenvironmental quality on sustainable peace. Te learning outcomes which is set at level of students'awareness of social problems are measured by changes in perceptions of issues faced by target groupsbefore and after students doing a community service through periodic journal reports.

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