Quantum algorithm beats classical tools on complement sampling tasks

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Research on the Application of Parallel FFT Algorithms in Matched Filtering Techniques

Abstract: The ever-increasing demands for signal processing speed and accuracy in modern communication or radar systems underscore the pivotal role of Matched Filtering (MF) as a critical signal ...
IEEE

CSIFA: A Configurable SRAM-based In-Memory FFT Accelerator

Abstract: In the era of Artificial Intelligent (AI) and big data, the demand for signal processing algorithms for large datasets has grown across various fields, notably in the application of the Fast ...