This invention provides a system for users to solve complex computational problems, such as planning routes or packing items efficiently, without needing deep expertise. It works by displaying a menu of problem types, allowing a user to select one and input their specific data, then sending this to a powerful optimization solver to generate a solution. The claims specifically focus on making NP-hard problems, like the Traveling Salesperson Problem or the Knapsack problem, accessible through this user interface.
Why it matters: Since 2019, advancements in quantum annealing and AI-driven optimization have made powerful solvers for NP problems more capable and accessible, enhancing the utility of a user-friendly interface to these systems.
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