标题： 通过动态电路的AlphaZero进行单位合成 显示英文标题

标题： Unitary Synthesis with AlphaZero via Dynamic Circuits

摘要： 酉合成是将目标酉变换分解为一系列量子门的过程。 这是一个具有挑战性的任务，因为可能的门组合数量随着电路深度呈指数增长。 在本文中，我们提出了一种方法，使用受AlphaZero启发的强化学习代理，用于使用离散逻辑门集对酉变换进行精确编译。 该方法具有低推理时间，并在不同的门集和量子比特连接性中表现出灵活性。 利用这种灵活性，我们探索了包含非酉操作（如测量和条件门）的动态电路中的酉合成，并发现了逻辑量子门的不同实现方式。 尽管直接合成完整算法是难以处理的，但我们的方法非常适合高效合成子例程。 当这些子例程在算法执行期间被反复调用时，这可能会产生重大影响。 显示英文摘要

摘要： Unitary synthesis is the process of decomposing a target unitary transformation into a sequence of quantum gates. This is a challenging task, as the number of possible gate combinations grows exponentially with the circuit depth. In this manuscript, we propose an approach using an AlphaZero-inspired reinforcement-learning agent for the exact compilation of unitaries using discrete sets of logic gates. The approach achieves low inference time and proves versatile across different gate sets, and qubit connectivities. Leveraging this flexibility, we explore unitary synthesis with dynamic circuits -- circuits that contain non-unitary operations such as measurements and conditional gates -- and discover unusual implementations of logical quantum gates. Although the direct synthesis of complete algorithms is intractable, our approach is well suited for efficiently synthesizing subroutines. This may have a significant impact when these subroutines are invoked repeatedly during algorithm execution.