594 research outputs found

    A quantum interface between light and nuclear spins in quantum dots

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    The coherent coupling of flying photonic qubits to stationary matter-based qubits is an essential building block for quantum communication networks. We show how such a quantum interface can be realized between a traveling-wave optical field and the polarized nuclear spins in a singly charged quantum dot strongly coupled to a high-finesse optical cavity. By adiabatically eliminating the electron a direct effective coupling is achieved. Depending on the laser field applied, interactions that enable either write-in or read-out are obtained.Comment: 10 pages, 5 figures, final versio

    Social Network Privacy: Expectations vs Reality

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    This study is an initial step in a larger study which explores issues associated with security and privacy in social network sites (SNSs). Sites such as Facebook, MySpace, LinkedIn, Bebo, Ning and others have increased in popularity and are receiving increased attention from industry and academics as SNSs move beyond the youth market. Most SNSs are targeted towards individuals, yet they are impacting organizations and will change the way business is conducted in the future. Utilizing a survey of MBA students from two US institutions, this study explores the issue of privacy and proposes a model which addresses the risks, expectations, and reality of social networking privacy. It also outlines an agenda for future research

    CineTransfer: Controlling a Robot to Imitate Cinematographic Style from a Single Example

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    This work presents CineTransfer, an algorithmic framework that drives a robot to record a video sequence that mimics the cinematographic style of an input video. We propose features that abstract the aesthetic style of the input video, so the robot can transfer this style to a scene with visual details that are significantly different from the input video. The framework builds upon CineMPC, a tool that allows users to control cinematographic features, like subjects' position on the image and the depth of field, by manipulating the intrinsics and extrinsics of a cinematographic camera. However, CineMPC requires a human expert to specify the desired style of the shot (composition, camera motion, zoom, focus, etc). CineTransfer bridges this gap, aiming a fully autonomous cinematographic platform. The user chooses a single input video as a style guide. CineTransfer extracts and optimizes two important style features, the composition of the subject in the image and the scene depth of field, and provides instructions for CineMPC to control the robot to record an output sequence that matches these features as closely as possible. In contrast with other style transfer methods, our approach is a lightweight and portable framework which does not require deep network training or extensive datasets. Experiments with real and simulated videos demonstrate the system's ability to analyze and transfer style between recordings, and are available in the supplementary video

    CLIPSwarm: Converting text into formations of robots

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    We present CLIPSwarm, an algorithm to generate robot swarm formations from natural language descriptions. CLIPSwarm receives an input text and finds the position of the robots to form a shape that corresponds to the given text. To do so, we implement a variation of the Montecarlo particle filter to obtain a matching formation iteratively. In every iteration, we generate a set of new formations and evaluate their Clip Similarity with the given text, selecting the best formations according to this metric. This metric is obtained using Clip, [1], an existing foundation model trained to encode images and texts into vectors within a common latent space. The comparison between these vectors determines how likely the given text describes the shapes. Our initial proof of concept shows the potential of this solution to generate robot swarm formations just from natural language descriptions and demonstrates a novel application of foundation models, such as CLIP, in the field of multi-robot systems. In this first approach, we create formations using a Convex-Hull approach. Next steps include more robust and generic representation and optimization steps in the process of obtaining a suitable swarm formation.Comment: Please cite this article as "P. Pueyo, E. Montijano, A. C. Murillo, and M. Schwager, CLIPSwarm: Converting text into formations of robots. ICRA 2023 Workshop on Multi-Robot Learning

    An Examination of the Benefits of E-Business to Small and Medium Size Businesses

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    Small and Medium Sized Enterprises (SME) play a significant part in economies throughout the world. In the early developmental stages of e-commerce/e-business many believed that it would enable these SMEs to compete head-to-head with large companies. While much has been done to examine the adoption of e-commerce/e-business, few have addressed the benefit that it is providing these businesses. This study identifies the types of e-commerce that SMEs are using and examines the benefits that are received from this use

    Asymmetric optical nuclear spin pumping in a single uncharged quantum dot

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    A highly asymmetric dynamic nuclear spin pumping is observed in a single self assembled InGaAs quantum dot subject to resonant optical pumping of the neutral exciton transition leading to a large maximum polarization of 54%. This dynamic nuclear polarization is found to be much stronger following pumping of the higher energy Zeeman state. Time-resolved measurements allow us to directly monitor the buildup of the nuclear spin polarization in real time and to quantitatively study the dynamics of the process. A strong dependence of the observed dynamic nuclear polarization on the applied magnetic field is found, with resonances in the pumping efficiency being observed for particular magnetic fields. We develop a model that fully accounts for the observed behaviour, where the pumping of the nuclear spin system is due to hyperfine-mediated spin flip transitions between the states of the neutral exciton manifold.Comment: published version; 4+ pages, 3 figures (eps

    SOCIAL NETWORK PRIVACY: EXPECTATIONS VS. REALITY (RESEARCH IN PROGRESS)

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    ABSTRACT This study is an initial step in a larger study which explores issues associated with security and privacy in social network sites (SNSs). Sites such as Facebook, MySpace, LinkedIn, Bebo, Ning and others have increased in popularity and are receiving increased attention from industry and academics as SNSs move beyond the youth market. Most SNSs are targeted towards individuals, yet they are impacting organizations and will change the way business is conducted in the future. Utilizing a survey of MBA students from two US institutions, this study explores the issue of privacy and proposes a model which addresses the risks, expectations, and reality of social networking privacy. It also outlines an agenda for future research
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