Systems and methods for hybrid algorithms using cluster contraction

This invention describes a way for a regular computer and a quantum computer to work together to solve very large, complex problems. The regular computer first simplifies the big problem by grouping its parts, making it small enough for the quantum computer to handle. The quantum computer then finds a solution for the simplified problem, and the regular computer translates that solution back to the original, full-sized problem, specifically by generating variable modification proposals for optimization problems.

Why it matters: Since 2022, quantum processors have continued to advance in capability, making hybrid approaches like this more relevant for tackling larger, dense problems that remain too complex for direct quantum computation.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedQuantum processor, specialized algorithms, hybrid software system.

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