论文标题
部分可观测时空混沌系统的无模型预测
Quantum computing teaching with CoSpaces
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。
The first prototypes of quantum computers sparked interest in quantum computing and the basic principles of quantum mechanics. The education project on the physical bases of quantum computing is part of this context, based on the experimental description with virtual methods of the physical implementation of Di Vincenzo's first 5 principles. The computation process is implemented as transformations of qubits encoded in the polarization of optical photons. These transformations are implemented as quantum gates made as 3D virtual objects using Blender. In detail, the models of: Laser Ar +, PBS, HWP / QWP, BBO, APD, SMF, Control electronics are made. With the 3D models, a virtual laboratory has been created within CoSpaces where it is possible to become familiar with the basic processes of quantum computing: production of announced photons, transformation of a qubit, measurement of a qubit, production of entangled photons, transformation of two qubits, measure of two qubits. The realization of physical models to be used in the metaverse could fill the didactic void due to the absence of quantum optics laboratories.
