This invention describes a way to solve complex scheduling or resource allocation problems, like those found in healthcare or logistics, by using quantum computers. It takes a real-world problem, converts it into a mathematical form a quantum computer can understand, sends it to a quantum computer for a solution, and then uses that solution to make a decision or take an action. Specifically, it details how to handle different types of mathematical constraints and mentions using quantum annealing computers.
Why it matters: Filed in 2019, the accessibility and maturity of quantum computing hardware and software platforms have significantly advanced by 2026, making the practical implementation of such optimization methods more feasible through cloud services and improved SDKs.
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