The paper proposes AlphaCNOT, a model-based planning approach for minimizing CNOT gates in quantum circuits. CNOT gate reduction is important for improving quantum circuit efficiency and reducing error rates. The method uses learned models to guide optimization strategies in quantum circuit design.
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AlphaCNOT: Learning CNOT Minimization with Model-Based Planning
AlphaCNOT uses learned models and planning to minimize CNOT gates in quantum circuits, improving efficiency and reducing error rates through an AI-guided optimization approach.
Thursday, April 16, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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