SDxCentral

Ericsson researchers explore hybrid quantum-classical approaches for RAN planning

A team of researchers at Ericsson has found that hybrid quantum-classical computing techniques could improve radio access ...
mccormick.northwestern.edu

IEMS 351: Optimization Methods in Data Science

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
The Eastern Herald

Google Supercharges Gemma 4 With Multi-Token Prediction, Delivering Up to 3× Faster AI Inference

Google’s Multi-Token Prediction upgrade for Gemma 4 dramatically improves AI speed and efficiency without sacrificing ...
Phys.org

Quantum computers can solve combinatorial optimization problems more easily than conventional methods, research shows

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...
The Manila Times

MicroAlgo Inc. Develops Quantum Architecture Search (QAS) Technology to Enhance VQA Robustness and Trainability, Optimizing the Potential of Quantum Computing …

MicroAlgo Inc. (the 'Company' or 'MicroAlgo') (NASDAQ: MLGO), today announced the development of an innovative ...
Princeton University

Convex Optimization Over Probability Spaces

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...