Quantum processor based systems and methods that minimize an objective function

This invention describes a method to solve complex optimization problems by combining a quantum computer with a regular digital computer. The quantum computer generates many potential solutions, focusing on those that are likely to be good, and sends them to the digital computer for evaluation. This back-and-forth process continues until the system finds the best possible solution, specifically aiming to minimize a target function.

Why it matters: In 2015, quantum processors were nascent. Since then, significant advancements in qubit count, coherence, and error correction, alongside the development of robust quantum programming frameworks and cloud access to quantum hardware, make building and operating such a hybrid system more practical and efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedQuantum processor, digital processor, complex software stack

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