weighted MaxCut

The 'weighted MaxCut' dataset contains instances of the Max Cut problem where edges have different weights, and it is used to evaluate the performance of optimization algorithms in finding high-quality solutions within the Quantum Approximate Optimization Algorithm framework.

Papers using weighted MaxCut (2)

Benchmarking Swarm Optimization Algorithms for Parameter Initialization in the Quantum Approximate Optimization Algorithm2025Performance analysis of a filtering variational quantum algorithm2024