For the preparation of high-dimensional functions on quantum computers, we introduce tensor network algorithms that are efficient with regard to dimensionality, optimize circuits composed of ...
Math fans can now spin, zoom, and explore complex equations in full 3D right on their iPad with iPadOS 26. Here's what it looks like. With iPadOS 26, Apple is introducing interactive 3D graphing in ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
Abstract: Latest advances in multi-agent technology and hardware architecture design have made multivariate or multichannel data, often supported by graphs or networks, ubiquitous in recent scientific ...
Please see https://docs.rs/rootfinder. Licensed under either of Apache License, Version 2.0 or MIT license at your option. Unless you explicitly state otherwise, any ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
The call graph in python is not shown for constructor function. When a parents methods called in child doesn't reflect the call graph. version of doxygen I tried restructuring code and modifying ...
This work explores the representation of univariate and multivariate functions as matrix product states (MPS), also known as quantized tensor-trains (QTT). It proposes an algorithm that employs ...
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