Systems and methods for solving computational problems

This invention describes a method for solving complex problems by first converting them into a logic circuit. A standard computer then translates this circuit into a series of discrete optimization problems, each representing a logic gate. These problems are then solved by a quantum processor, which can also work backward from a desired output to find the corresponding inputs.

Why it matters: Filed when quantum processors were largely theoretical. Today, quantum computing hardware and algorithms have advanced significantly, making such systems more feasible for complex optimization problems.

Status: Not in forceListed as no longer active.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 software

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