Automatic oracle synthesis (AOS) provides a promising route to speed up the process of constructing a complex quantum oracle. Here, we expand the existing AOS in the Microsoft Quantum Development Kit (QDK) by adding n...
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Integrating Deep Reinforcement Learning (DRL) into building energy management systems presents a transformative approach to enhancing grid stability and efficiency. Grid-Interactive Efficient Buildings (GEBs), equippe...
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We consider the problem of computing an equilibrium in a class of nonlinear generalized Nash equilibrium problems (NGNEPs) in which the strategy sets for each player are defined by equality and inequality constraints ...
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We consider the problem of computing an equilibrium in a class of nonlinear generalized Nash equilibrium problems (NGNEPs) in which the strategy sets for each player are defined by equality and inequality constraints that may depend on the choices of rival players. While the asymptotic global convergence and local convergence rates of algorithms to solve this problem have been extensively investigated, the analysis of nonasymptotic iteration complexity is still in its infancy. This paper presents two first-order algorithms-- based on the quadratic penalty method (QPM) and augmented Lagrangian method (ALM), respectively--with an accelerated mirror-prox algorithm as the solver in each inner loop. We establish a global convergence guarantee for solving monotone and strongly monotone NGNEPs and provide nonasymptotic complexity bounds expressed in terms of the number of gradient evaluations. Experimental results demonstrate the efficiency of our algorithms in practice.
In this work, we propose a small-size and low-cost phase shifter based on defective microstrip structure (DMS) technique, with a modified reconfigurable unit cell (MRDMS) for WLAN applications at 5.2 GHz. The phase sh...
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In many fields, time series prediction is gaining more and more attention, e.g., air pollution, geological hazards, and network traffic prediction. Water quality prediction is based on historical data to predict futur...
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Wireless sensor networks (WSNs) have been increasingly deployed in hydrometeorological stations to enhance the collection and transmission of environmental data. LoRa-based Wireless Sensor Networks is a wireless commu...
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The adaptation of the energy storage system (ESS) with high power and energy density remains a difficulty for electric vehicles (EVs), despite the increasing demand they are experiencing around the world. A lightweigh...
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This paper focuses on the automotive applications of robotic systems and their evolution on two fronts: manufacturing and autonomous vehicles. The first will be divided into chronological generations and while the sec...
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We present advancements in novel rf signal processing techniques which combine the benefits of high-Q, high-linearity, and large dynamic range of acoustic wave devices with the tunability and nonlinear functionality o...
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The Dual-Active Bridge (DAB) topology offers various advantages in the applications of Electric Vehicle (EV) charging and Vehicle-to-Grid (V2G) power transfer, such as high efficiency, soft switching, modular structur...
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