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This invention describes a software method for preparing complex optimization problems to run on quantum computers. It works by intelligently fitting the problem's structure onto the quantum computer's physical layout, which often has limited connections between its processing units (qubits). The method specifically involves an iterative process where individual parts of the problem are moved around on the quantum computer's layout until an optimal fit is found, helping to overcome hardware limitations like faulty qubits.
Why it matters: Filed when quantum hardware was extremely limited, the significant advancements in qubit count and connectivity since 2015 make the efficient embedding of complex problems a more critical and solvable challenge today. The iterative heuristic approach described could be more effectively implemented with current classical computing power and applied to a wider range of available quantum devices.
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