Beyond traditional binary relational facts, n-ary relational knowledge graphs (NKGs) are comprised of n-ary relational facts containing more than two entities, which are closer to real-world facts with broader applica...
We conduct a systematic study of quantum circuits composed of multiple-control Z-rotation (MCZR) gates as primitives, since they are widely-used components in quantum algorithms and also have attracted much experiment...
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Multi-person multiple get admission to strategies are usually used for Wi-Fi communications. MUMIMO is a verbal exchange technique that lets in multiple customers to share the same communiqué medium, making an al...
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We entangle two co-trapped atomic barium ion qubits by collecting single visible photons from each ion through in-vacuo 0.8 NA objectives, interfering them through an integrated fiber-beamsplitter and detecting them i...
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Kakutani's Fixed Point theorem is a fundamental theorem in topology with numerous applications in game theory and economics. Formally, Kakutani's theorem states that for any set-valued function mapping F, also...
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Road travel is one of the most common modes of transportation in the world, where more than 60% of the population commutes by personal or shared automobiles. According to a poll, potholes are a major contributing fact...
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The early detection of brain tumor is crucial for effective treatment and improved patient prognosis in Industrial Information Systems. This research introduces a novel computational model employing a three-layer Conv...
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Modern applications seek to develop agents that are capable of performing tasks in real-world environments whose complexity may overshadow the agent's ability to act. These environments require intelligent agents ...
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ISBN:
(数字)9798350382655
ISBN:
(纸本)9798350382662
Modern applications seek to develop agents that are capable of performing tasks in real-world environments whose complexity may overshadow the agent's ability to act. These environments require intelligent agents that are capable of achieving their goals with relatively limited capacity. Here we introduce the Limited-Capacity Supervisor Problem, where capacity captures the control and observation capabilities of agents in the system. We formalize the notion of capacity for discrete-event systems, and present a heuristic for reducing a supervisor's capacity usage while enforcing a specification.
A recently proposed variational quantum algorithm has expanded the horizon of variational quantumcomputing to nonlinear physics and fluid dynamics. In this work, we probe the ability of such approach to capture the g...
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A recently proposed variational quantum algorithm has expanded the horizon of variational quantumcomputing to nonlinear physics and fluid dynamics. In this work, we probe the ability of such approach to capture the ground state of the nonlinear Schrödinger equation for a range of parameters on real superconducting quantum processors. Specifically, we study the expressivity of real-amplitude, hardware-efficient Ansatz to capture the ground state of this nonlinear system across various interaction regimes and implement different noise scenarios in both simulators and cloud processors. Our investigation reveals that although quantum hardware noise impairs the evaluation of the energy cost function, certain small instances of the problem consistently converge to the ground state. We test and demonstrate a variety of cases on IBM Q superconducting devices and analyze the discrepancies in the energy cost function evaluation due to quantum hardware noise. These discrepancies are absent in the state fidelity estimation because of the shallow state preparation circuit. Our comprehensive analysis offers valuable insights into the practical implementation and advancement of the variational algorithms for nonlinear problems.
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