Quantum Annealers

Quantum annealers are specialized computing devices designed to efficiently solve optimization problems by finding the lowest energy state of a system, often represented as a Quadratic Unconstrained Binary Optimization (QUBO) problem. Current research focuses on adapting various algorithms, including those based on Boltzmann machines, support vector machines, and variational methods, to run on these devices and applying them to diverse fields like machine learning, logistics, and satellite network optimization. This research is significant because it explores the potential of quantum annealers to outperform classical methods for specific computationally hard problems, offering speedups in areas where classical approaches struggle with scalability and runtime.