论文标题
部分可观测时空混沌系统的无模型预测
The optimal approximation of qubit states with limited quantum states
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
Measuring the closest distance between two states is an alternative and significant approach in the resource quantification, which is the core task in the resource theory. Quite limited progress has been made for this approach even in simple systems due to the various potential complexities. Here we analytically solve the optimal scheme to find out the closest distance between the objective qubit state and all the possible states convexly mixed by some limited states, namely, to optimally construct the objective qubit state using the quantum states within any given state set. In particular, we find the least number of (not more than four) states within a given set to optimally construct the objective state and also find that any state can be optimally established by at most four quantum states of the set. The examples in various cases are presented to verify our analytic solutions further.
