In part five of our five part series on quantum patents, Sinan Utku discusses why an attempt to patent Shor's algorithm would ...
Beyond approximately twenty qubits, preparing ground states with adiabatic evolution outperforms conventional methods on ...
Quantum physics-informed neural networks utilising exact symmetrization and randomised encoding now deliver the lowest ...
The word "sine" was born from a mistranslationHave you ever drawn the graph of $${y = \sin x}$$ in math class?It is a curve ...
IntroductionSo far, I have written several articles on estimating damage distribution.An important assumption in those ...
From Richard Ernst's Nobel prize-winning techniques to hyperpolarisation and in-situ battery analysis, nuclear magnetic ...
Mathematicians are still trying to understand fundamental properties of the Fourier transform, one of their most ubiquitous and powerful tools. A new result marks an exciting advance toward that goal.
We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem domains. These results ...
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 ...
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