Quantum error mitigation using hardware-friendly probabilistic error correction

This invention describes a way to reduce errors in quantum computers by optimizing how they handle noisy operations. It works by breaking down complex quantum operations into simpler, hardware-compatible steps and then intelligently allocating a "sampling budget" to different parts of the quantum program. This budget determines how much effort is spent on statistically correcting errors, aiming to minimize overall error while staying within practical limits. The claims narrow the invention to a system with a quantum processor, classical processor, and memory, and a method for optimizing this error mitigation.

Why it matters: Quantum hardware has continued to scale in qubit count since 2020 but remains noisy, making efficient, hardware-friendly error mitigation like this even more critical for extracting useful results from current-generation quantum computers. The classical computational resources needed for the optimization components have also become more powerful.

Status: Not in forceListed as no longer active.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 algorithms, classical processor

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