The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Circuit Retrieval and Optimization with Parameter Guidance using LLMs” was published by researchers at Duke University and Synopsys. Abstract “Modern very large-scale integration (VLSI) design ...

Discover Alpha Evolve, Google’s self-improving AI that’s redefining intelligence and reshaping the future of technology and ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

The flowchart is presented in Figure 1. Ant colony optimization (ACO) [7] [8]: ACO is a heuristic algorithm that simulates the foraging behavior of ant colonies. It addresses combinatorial ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

The class of optimization algorithms in machine learning is capable of tuning model parameters to minimize arguments of loss functions, for better prediction accuracy. Familiarity with these ...

In brief Computer scientists at ETH Zurich have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with ...

Post-Processing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems. IEEE Transactions on Quantum Engineering, 2024; 1 DOI: 10.1109/TQE.2024.3376721 ...

This study employs two optimization algorithms, namely, particle swarm optimization (PSO) and sparrow optimization algorithm (SSA), in conjunction with least squares support vector machine (LSSVM) to ...