Extracting an arbitrary relative phase from a multiqubit two-component entangled state

We show that an arbitrary relative phase can be extracted from a multiqubit two-component (MTC) entangled state by local Hadamard transformations and measurements along a single basis only. In addition, how to distinguish a MTC entangled state with an arbitrary entanglement degree and relative phase from a class of multiqubit mixed states is discussed.Comment: 4 pages, REVTEX, accepted by Physical Review

A Precision Measurement of the Weak Charge of Proton at Low Q^2: Kinematics and Tracking

The Standard Model of particle physics represents our present best understanding of the elementary particles and three of the four fundamental forces. One of the most important and challenging tasks of modern particle physics is to test, and perhaps, to find the evidence for new physics not contained in the Standard Model. One such test, the $Q_{weak}$ experiment, was conducted at JLab in Newport News, VA, from 2010 to 2012. The goal of the experiment is to measure the value of the weak charge of proton, $Q_{weak}$ to a 4\% precision, which, if it confirms the Standard Model prediction, will provide tighter constraints on new physics; or, if it is in disagreement with that prediction, will provide clear evidence for new physics. In this experiment, an 85\% polarized electron beam with 150 $\mu A$ current is used on a 35cm thick hydrogen target to make elastic electron-proton scattering happen at a four-momentum transfer $Q^2=0.03GeV/c^2$. to determine the weak charge, we must also precisely determine the kinematics of the scattering process, namely, the $Q^2$. In order to reach this goal, the hardware, a particle tracking system and special analysis software, the Qweak Tracking Reconstruction software, are both needed. In this dissertation, a full description of the tracking software and the prelimary analysis of the $Q^2$ and the first subset of production data will be given. The proton\u27s weak charge $Q^P_{Weak}$ was measured to be $0.064\pm0.012$, which is consistent with the prediction of the Standard Model

Sadness Detection for Future Smart Homes

This thesis focuses on sadness detection and recognition using deep learning and image processing in python. It analyzes accurate and efficient ways to collect a large set of “moments” from YouTube videos to build large-scale databases for “moments” that show the emotion of sadness. For the overall model architecture, a sequential neural network model is built with three fully connected convolutional layers and rectified linear units as our activation function. Initially, we obtain a nearly zero false positive rate and around ten percent false negative rate on this trained model. To further improve the accuracy and efficiency, the Haar Cascade classifier is used to crop only frontal face images and OpenPose is used to locate facial key points to precisely detect and analyze the facial expression. Besides, we crawl the YouTube network to acquire the video information and used natural language processing to filter the videos that are more likely to contain the emotion sadness. By incorporating the deep learning model with the above algorithms, “moments” that contain the emotion of sadness are extracted from YouTube videos and output as a JSON file, which can be viewed via the iLab AI-Human Video Database

A Shipbuilding Cost Analysis Comparison Between China, Japan and the United States

https://deepblue.lib.umich.edu/bitstream/2027.42/154208/1/39015075438534.pd

Efficient many-party controlled teleportation of multi-qubit quantum information via entanglement

We present a way to teleport multi-qubit quantum information from a sender to a distant receiver via the control of many agents in a network. We show that the original state of each qubit can be restored by the receiver as long as all the agents collaborate. However, even if one agent does not cooperate, the receiver can not fully recover the original state of each qubit. The method operates essentially through entangling quantum information during teleportation, in such a way that the required auxiliary qubit resources, local operation, and classical communication are considerably reduced for the present purpose