Zhu Yuanye
Center on Frontiers of Computing Studies and School of Computer Science, Peking University, Beijing 100871, China.
State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing 100084, China.
Entropy (Basel). 2022 Dec 29;25(1):62. doi: 10.3390/e25010062.
When faced with a quantum-solving problem for partial differential equations, people usually transform such problems into Hamiltonian simulation problems or quantum-solving problems for linear equation systems. In this paper, we propose a third approach to solving partial differential equations that differs from the two approaches. By using the duality quantum algorithm, we construct a quantum-solving algorithm for solving the first-order wave equation, which represents a typical class of partial differential equations. Numerical results of the quantum circuit have high precision consistency with the theoretical d'Alembert solution. Then the routine is applied to the wave equation with either a dissipation or dispersion term. As shown by complexity analysis for all these cases of the wave equation, our algorithm has a quadratic acceleration for each iteration compared to the classical algorithm.
当面对偏微分方程的量子求解问题时,人们通常会将此类问题转化为哈密顿量模拟问题或线性方程组的量子求解问题。在本文中,我们提出了一种不同于这两种方法的求解偏微分方程的第三种方法。通过使用对偶量子算法,我们构造了一种用于求解一阶波动方程的量子求解算法,一阶波动方程代表了一类典型的偏微分方程。量子电路的数值结果与理论达朗贝尔解具有高精度的一致性。然后将该例程应用于具有耗散项或色散项的波动方程。通过对波动方程所有这些情况的复杂度分析表明,与经典算法相比,我们的算法每次迭代具有二次加速。