Quantum Computing, Quantum Machine Learning.
sets, the computational burden of classical algorithms still approaches its practical limits. To reduce these costs, alternate regularization approaches have been suggested that treat computational burden as a form of regularization. Early stopping approaches and divide and conquer are two such