论文标题
量子计算的三个原则
Three principles of quantum computing
论文作者
论文摘要
构建量子计算机的目的是，它允许用预测能力对生物进行建模，并提供控制生活的机会。它的缩放不仅意味着仪器部分的改进，还意味着主要是数学和软件工具，以及我们对QC问题的理解。量子建模的第一个原理是将现实减少到类似于光腔中QED的有限维模型。第二个原理是对所谓的Feynman原理的严格限制，即QC标准配方中的量子数。这意味着将破碎性视为经典建模计算机的内存的限制，并随着模型扩展，对量子状态的希尔伯特空间的工作区域引入相应的渐进式限制。第三个原理是不同性质的过程中的相似性。现实的量子性质在这一原则中表现出来。它的性质是量子非局部性，它是确保量子物理设备的前景及其对经典量子的前景的主要特性。
The point of building a quantum computer is that it allows to model living things with predictive power and gives the opportunity to control life. Its scaling means not just the improvement of the instrument part, but also, mainly, mathematical and software tools, and our understanding of the QC problem. The first principle of quantum modeling is the reduction of reality to finite-dimensional models similar to QED in optical cavities. The second principle is a strict limitation of the so-called Feynman principle, the number of qubits in the standard formulation of the QC. This means treating decoherence exclusively as a limitation of the memory of a classical modeling computer, and introducing corresponding progressive restrictions on the working area of the Hilbert space of quantum states as the model expands. The third principle is similarity in processes of different nature. The quantum nature of reality is manifested in this principle; its nature is quantum nonlocality, which is the main property that ensures the prospects of quantum physical devices and their radical advantage over classical ones.
