量子神经网络计算自己的相对相位
A quantum neural network computes its own relative phase
摘要：
由于子系统之间的干涉效应，完整表征由子系统组成的量子系统的状态需要确定相对相位。对于用作量子计算机的量子比特系统来说，这一点尤其重要，因为纠缠是计算中量子优势的基础，它复杂地依赖于相位。我们在这里提出了实现这一确定的第一步，其中我们使用一个双量子比特量子系统作为量子神经网络，该网络经过训练以计算和输出自己的相对相位。
英文摘要：
Complete characterization of the state of a quantum system made up of subsystems requires determination of relative phase, because of interference effects between the subsystems. For a system of qubits used as a quantum computer this is especially vital, because the entanglement, which is the basis for the quantum advantage in computing, depends intricately on phase. We present here a first step towards that determination, in which we use a two-qubit quantum system as a quantum neural network, which is trained to compute and output its own relative phase.
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