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Quantum walks explained, and why they could change everything
Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Nanoscale device employs magnetic tunnel junctions to convert thermal noise into binary signals for random number generation.
Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...
Abstract: This article investigates a data-driven method to solve the discrete-time linear output regulation problem. Different from existing learning-based data-driven solutions, we adopt the ...
Abstract: This article concentrates on the discrete-time sliding mode control (DTSMC) problem for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) ...
Real-world datasets often have missing values associated with complex generative processes, where the cause of the missingness may not be fully observed. This is known as missing not at random (MNAR) ...
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