Nick Thieme

Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.

For years, intermediate measurements made it hard to quantify the complexity of quantum algorithms. New work establishes that those measurements aren’t necessary after all.

The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem.