Quantum network is a research topic involving fundamental quantum information science, engineering designs, and experimental implementations. Existing research works primarily pertain to theoretical architecture desig...
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ISBN:
(纸本)9781538674628
Quantum network is a research topic involving fundamental quantum information science, engineering designs, and experimental implementations. Existing research works primarily pertain to theoretical architecture designs and proof-of-concept experimental demonstrations. With the recent developments in engineering quantum systems, the realization of scalable local-area quantum networks has become viable. However, the design and implementation of a quantum network is a holistic task that is way beyond the scope of an abstract design problem. As such, a testbed on which multiple disciplines can verify the design and implementation across a full networking stack has become a necessary infrastructure for the future development of quantum networks. In this work, we demonstrate the concept of quantum internet service provider (QISP), in analogy to the conventional ISP that allows for the sharing of classical information between the network nodes. The QISP is significant for the next-generation quantum networks as it coordinates the production, management, control, and sharing of quantum information across the end-users of a quantum network. We construct a reconfigurable QISP comprising both the quantum hardware and classical control software. Building on the fiber-based quantum-network testbed of the Center for Quantum Networks (CQN) at the University of Arizona (UA), we develop an integrated QISP prototype based on a Platform-as-a-Service (PaaS) architecture, whose classical control software is abstracted and modularized as an open-source QISP framework. To verify and characterize the QISP's performance, we demonstrate multi-channel entanglement distribution and routing among multiple quantum-network nodes with a time-energy entangled-photon source. We further perform field tests of concurrent services for multiple users across the quantum-network testbed. Our experiment demonstrates the robust capabilities of the QISP, laying the foundation for the design and verification
In this crucial area of computer vision, this study tackles the difficulties of identifying objects in dim illumination. As deep learning is advancing quickly and sophisticated CNN designs appear, this research invest...
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The proposed design uses the 2×2 integration architecture as an array that is recovered to a T-resonator in order to access the Hilbert curve. In conjunction with a transmission line that has two air gaps, the re...
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Autonomously guided vehicles (AGVs) utilize reconfigurable intelligent surfaces (RISs) for control. The research approach started with selecting a Preferred Reporting Item for Systematic Reviews and Meta-Analyses: Sco...
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Ridesharing systems have become an important part of urban transportation. At the same time, electric vehicle (EV) adoption is also growing at a fast pace as an eco-friendly and sustainable transportation option. To o...
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As a key feature that has the potential to enable many advanced applications, the integration of sensing functionality is considered essential in the 6G network, which motivates the design of integrated sensing and co...
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In this paper, we explore a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-Assisted integrated sensing and communication (ISAC) secure communication system. The average long-T...
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This paper presents a multiband planar Sierpinski bow-tie antenna designed for Internet-of-Things (IoT) applications. The antenna aims to fulfill the requirements of compactness, multiband operation, and suitability f...
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Robot mapping usually benefits from the combination of several sensors. However, most algorithms for Simultaneous Localization And Mapping using point clouds only consider a single point cloud as input. There are also...
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ISBN:
(纸本)9798350352351;9798350352344
Robot mapping usually benefits from the combination of several sensors. However, most algorithms for Simultaneous Localization And Mapping using point clouds only consider a single point cloud as input. There are also scenarios where SLAM is not needed and a simple local map representation without probabilities is preferred, for example due to throughput requirements. For these scenarios, software is needed that combines multiple point clouds into a unified, short-lived, robot-centric representation. Mapping software is only one tool in the software stack and should not compromise other components, which is why its performance-oriented design is of utmost importance. CUPREDS presents a ROS package for local mapping that prioritizes robustness and performance, with minimal overhead for its internal mechanisms.
The purpose of this paper is to utilize enhanced distributed neural dynamics to address the optimization scheduling problem of integrated energy systems (IES). The combination of neural dynamics algorithms and distrib...
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