The spin-off company ParityQC has implemented the largest quantum Fourier transform ever reported using an IBM quantum ...

This is a python version of the logarithmic FFT code FFTLog as presented in Appendix B of Hamilton (2000) and published at jila.colorado.edu/~ajsh/FFTLog. A simple ...

A talk, The Unreasonable Effectiveness of the Fourier Transform, was presented by [Joshua Wise] at Teardown 2025 in June last year. Click-through for the notes or check out the video below the break ...

The Fourier Neural Operator (FNO) [1] is a neural operator with an integral kernel parameterized in Fourier space. This allows for an expressive and efficient architecture. Applications of the FNO ...

Abstract: The primary objective of this research paper is to evaluate harmonic distortions from nonlinear loads in industrial power grids by conducting Fast Fourier Transform (FFT) operations in ...

Professor Edmund Lam, Dr. Ni Chen and their research team from the Department of Electrical and Electronic Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) have ...

Over at Quanta Magazine [Shalma Wegsman] asks What Is the Fourier Transform? [Shalma] begins by telling you a little about Joseph Fourier, the French mathematician with an interest in heat propagation ...

As we listen to a piece of music, our ears perform a calculation. The high-pitched flutter of the flute, the middle tones of the violin, and the low hum of the double bass fill the air with pressure ...

Fourier Neural Operators (FNO) are powerful tools for learning partial differential equation solution operators, but lack architecture-aware optimizations, with their Fourier layer executing FFT, ...

Despite being the most abundant element in the universe, making cheap, clean hydrogen here on Earth has been a surprisingly tough nut to crack. “Hydrogen has always been plagued with a couple problems ...