Small quantum system outperforms large classical networks in real-world forecasting

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

New Quanscient and Haiqu algorithm targets scalable fluid simulations on quantum computers

Core to the approach is what the companies call a one-step simplified LBM, or OSSLBM, framework. The method uses a hybrid ...
IEEE

An Efficient Method for Solving the Traveling Salesman Problem Using Modern Optimization Algorithms

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
IEEE

Two-Stage Optimization Method for Beam Optical Systems Based on Multi-Objective Intelligent Optimization Algorithms

Abstract: To achieve high-precision engineering design and improve the optimization efficiency of beam optical systems, this paper proposes a two-stage optimization method based on intelligent ...
Invezz

TikTok set for US ownership, Oracle to lead algorithm control: White House

Oracle to lead US TikTok operations, controlling algorithm and user data. US-based entity to hold 80% of TikTok US, ByteDance retains minority. TikTok’s US move reflects broader US-China tech and ...
mccormick.northwestern.edu

A Scalable Probabilistic Computer

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...