Abstract We show how continuous variable network with embedded non-Gaussian element can effectively prepare Schrodinger cat state using cubic phase state as elementary non-Gaussian resource, an entangling Gaussian gate, and homodyne measurement. The gate prepares superposition of two “copies” of an arbitrary input state well separated on the phase plane. A key feature of the cat-breeding configuration is that the measurement outcome provides multivalued information about the target system variables, which makes irrelevant the Heisenberg picture as it is applied to Gaussian networks. We present an intuitively clear interpretation of the emerging cat state, extendable to the circuits with other non-Gaussian elements.

中文翻译：

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连续变量非高斯网络中的薛定谔猫状态

摘要 我们展示了嵌入非高斯元素的连续变量网络如何使用立方相态作为基本非高斯资源、纠缠高斯门和零差测量有效地准备薛定谔猫态。门准备在相平面上很好地分离的任意输入状态的两个“副本”的叠加。cat-breeding 配置的一个关键特征是测量结果提供了关于目标系统变量的多值信息，这使得海森堡图在应用于高斯网络时变得无关紧要。我们对新出现的猫状态给出了直观清晰的解释，可扩展到具有其他非高斯元素的电路。