Toward Fault-Tolerant Variational Optimization: QAOA under [[4,2,2]] Error Detection

This work applies a [[4,2,2]] error-detection code to improve QAOA for solving Max-Cut on a square graph. By post-selecting samples based on stabilizer measurements, the method significantly increases the probability of finding optimal solutions. This demonstrates that error detection protocols can enhance variational quantum algorithms.

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