MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing ...

The Quantum Information Recursive Optimization (QIRO) algorithm developed by MicroAlgo demonstrates significant technical advantages in solving combinatorial optimization problems. By fully leveraging ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

Quaternion-based machine learning algorithms have emerged as a promising candidate for four dimensional (4D) signal processing, which utilize 4D signal dimensions’ correlations for estimation purposes ...

This is the case with an important problem in computer science called "graph isomorphism testing" whereby scientists use algorithms to test whether two graphs are the same.

The proposed algorithms facilitate the secure transmission of messages, regardless of word length, through the utilization of graph structures and specific Mathematical characteristics. Following the ...

The algorithm works in an abstracted road map called a graph: a network of interconnected points (called vertices) in which the links between vertices are labeled with numbers (called weights). These ...

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.