Quadratic Unconstrained Binary Optimization (QUBO)
Emerging4papers using it
2025first seen
Quadratic Unconstrained Binary Optimization (QUBO) is a class of combinatorial optimization problems that is used to evaluate the performance of Variational Quantum Algorithms (VQAs) through metrics such as feasibility, quality, and reproducibility.
Papers using Quadratic Unconstrained Binary Optimization (QUBO) (4)
- A framework to evaluate the performance of Variational Quantum AlgorithmsSeparating Ansatz Discovery from Deployment on Larger Problems: Reinforcement Learning for Modular Circuit DesignCross-Platform Benchmarking of Near-Term Quantum Optimisation AlgorithmsA quantum wire approach to weighted combinatorial graph optimisation problems