Chiral quantum optics is central to developing scalable quantum networks, yet existing approaches rely predominantly on linear single-photon regimes. It remains unclear how to generate directional ...
Hardware engineers have long struggled with the gap between architectural intent and RTL implementation. The question: how do you validate that a design works before committing to Verilog? C models ...
Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Two of the most widely used electronic-structure theory methods, namely, Hartree–Fock ...
vectfit3.py is the implementation of the Fast Relaxed Vector Fitting algorithm in python. This algorithm was originally developed by B. Gustavsen and A. Semlyem 1 and the original code was written in ...
The effectiveness of sequence-to-sequence (seq2seq) models in natural language processing has been well-established over time, and recent studies have extended their utility by treating mathematical ...
Matrix-vector multiplications form the core of a plethora of scientific computing and machine learning applications that include solving partial differential equations, forward and back propagation in ...
Conventional spectroscopic ellipsometry is a powerful tool in optical metrology. However, when it comes to the characterization of non-periodic nanostructures or structured fields that are much ...
This paper concerns the more foundational tasks of distributed dense linear algebra. While a single TPU core can already store and operate on large matrices (e.g., of size 16,384, 32,768 in single ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results