arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2210.03136quant-ph
收藏

变分量子连续优化:量子数学分析的基石

Variational Quantum Continuous Optimization: a Cornerstone of Quantum Mathematical Analysis

Pablo Bermejo, Roman Orus

摘要:

在这里,我们展示了基于量子线路模型的通用量子计算机如何处理具有连续域的函数的数学分析计算,而无需任何数字化,并且具有非常少的量子比特。我们的方法的基本构建块是一个变分量子线路,其中每个量子比特编码多达三个连续变量(两个角度和一个半径的布洛赫球)。通过将这种编码与量子态层析成像相结合,$n$量子比特的变分量子线路可以以模拟方式优化高达$3n$连续变量的函数。然后,我们解释了这种用于连续优化的量子算法是如何在量子计算机上进行数学分析的整个工具箱的基础上的。例如,我们展示了如何使用它来计算任意级数展开,例如,傅立叶(谐波)分解。反过来,傅立叶分析允许我们实现基本上任何与函数微积分相关的任务,包括多维定积分的计算,求解微分方程(系统)等等。为了证明我们方法的有效性,我们为量子计算机模拟器上实现的许多用例提供了基准计算。相对于经典算法的数学分析,以及前景和可能的扩展的优势,也进行了讨论。

英文摘要:

Here we show how universal quantum computers based on the quantum circuit model can handle mathematical analysis calculations for functions with continuous domains, without any digitalization, and with remarkably few qubits. The basic building block of our approach is a variational quantum circuit where each qubit encodes up to three continuous variables (two angles and one radious in the Bloch sphere). By combining this encoding with quantum state tomography, a variational quantum circuit of $n$ qubits can optimize functions of up to $3n$ continuous variables in an analog way. We then explain how this quantum algorithm for continuous optimization is at the basis of a whole toolbox for mathematical analysis on quantum computers. For instance, we show how to use it to compute arbitrary series expansions such as, e.g., Fourier (harmonic) decompositions. In turn, Fourier analysis allows us to implement essentially any task related to function calculus, including the evaluation of multidimensional definite integrals, solving (systems of) differential equations, and more. To prove the validity of our approach, we provide benchmarking calculations for many of these use-cases implemented on a quantum computer simulator. The advantages with respect to classical algorithms for mathematical analysis, as well as perspectives and possible extensions, are also discussed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑