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Surface codes
Surface Codes currently represent the leading architecture for practical quantum error correction, favored for their compatibility with modern hardware constraints. They operate on a 2D grid using only nearest-neighbor interactions. This local design creates a high error threshold (~1%) while remaining easy to scale on devices like superconducting circuits. The grid consists of “data qubits” (holding information) and “measurement qubits” (or ancilla) interleaved in a checkerboard pattern. The measurement qubits check their immediate neighbors for errors (stabilizers) without disturbing the data, creating a map of errors known as a “syndrome”. Corrections rely on classical algorithms, most notably Minimum Weight Perfect Matching (MWPM). The decoder interprets the syndrome as a graph, calculating the most probable error chains connecting “defect” nodes. This allows the system to identify and fix faults in real-time, ensuring reliable computation.
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