论文标题

在近期量子计算机上求解部分微分方程

Solving partial differential equations on near-term quantum computers

论文作者

Albino, Anton Simen, Jardim, Lucas Correia, Knupp, Diego Campos, Neto, Antonio Jose Silva, Pires, Otto Menegasso, Nascimento, Erick Giovani Sperandio

论文摘要

在这项工作中,我们通过量子计算方法获得了平行板内部的热流动流量的数值温度场。物理问题涉及稳态,氢化素开发并在两个平行板内的热流动流动的热传递,并受到规定的常数热通量。它的解决方案是通过有限差异法制定的,其中必须求解一系列线性系统以确定完整的温度场。此类线性系统被写为使用二进制变量近似浮点的离散优化问题,并使用近期量子启发式方法求解。由于模拟量子算法的指数成本,必须在模拟中使用量子数量减少,从而导致结果中的精度损失。但是,这项工作推动了具有噪声量子设备的微分方程解决方案的艺术状态,当具有数千个Qubits的量子计算机可用时,可用于有用的应用。

In this work, we obtain the numerical temperature field to a thermally developing fluid flow inside parallel plates problem with a quantum computing method. The physical problem deals with the heat transfer of a steady state, hydrodinamically developed and thermally developing fluid flow inside two parallel plates channel subjected to a prescribed constant heat flux. Its solution is formulated numerically with Finite Differences method, where a sequence of linear systems must be solved in order to determine the complete temperature field. Such linear systems are written as discrete unconstrained optimization problems with floating points being approximated using binary variables and solved using near-term quantum heuristics. Due to the exponential cost of simulating quantum algorithms, a reduced number of qubits had to be used in the simulations, causing a loss of precision in the results. However, this work advances the state of the art of solutions of differential equations with noisy quantum devices and could be used for useful applications when quantum computers with thousands of qubits become available.

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