Implementation of Quantum Annealing: A Systematic Review

Quantum annealing is a quantum computing approach widely used for optimization and probabilistic sampling problems. It an alternative designed due to the limitations of gate-based models. The method observed have significant impact on different fields such as machine learning, graphics, routing, scheduling, computational chemistry, biology, security, portfolio, others despite fact that it relatively new. This research provides systematic review development trends in field analyzes how has been implemented problem domains. results are expected serve basis identify opportunities challenges related its implementation. main contribution this summarize implementations annealing. also analyze prospect one domains with greatest interest which learning.