Systems and methods of finding quantum binary optimization problems

This invention describes a software method for identifying specific types of quantum optimization problems, called Quadratic Unconstrained Binary Optimization (QUBO) problems, and calculating their difficulty or "gap values." It works by iteratively exploring potential solutions using a mathematical technique called linear programming to find the best fit for these quantum problems.

Why it matters: In 2014, practical quantum computing hardware was extremely limited. Today, significant advancements in quantum hardware and software platforms make it more feasible to implement and test algorithms for identifying and characterizing quantum optimization problems.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedComplex algorithm implementation

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