Stair Nicholas H, Huang Renke, Evangelista Francesco A
Department of Chemistry and Cherry Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States.
J Chem Theory Comput. 2020 Apr 14;16(4):2236-2245. doi: 10.1021/acs.jctc.9b01125. Epub 2020 Mar 6.
We introduce a multireference selected quantum Krylov (MRSQK) algorithm suitable for quantum simulation of many-body problems. MRSQK is a low-cost alternative to the quantum phase estimation algorithm that generates a target state as a linear combination of non-orthogonal Krylov basis states. This basis is constructed from a set of reference states via real-time evolution; thus, avoiding the numerical optimization of parameters. An efficient algorithm for the evaluation of the off-diagonal matrix elements of the overlap and Hamiltonian matrices is discussed and a selection procedure is introduced to identify a basis of orthogonal references that ameliorates the linear dependency problem. Preliminary benchmarks on linear H, H, and BeH indicate that MRSQK can predict the energy of these systems accurately using very compact Krylov bases.
我们介绍了一种适用于多体问题量子模拟的多参考选择量子克里洛夫(MRSQK)算法。MRSQK是量子相位估计算法的一种低成本替代方案,它将目标态生成为非正交克里洛夫基态的线性组合。该基是通过实时演化从一组参考态构建的;因此,避免了参数的数值优化。讨论了一种用于评估重叠矩阵和哈密顿矩阵非对角矩阵元的高效算法,并引入了一种选择程序来识别正交参考基,以改善线性相关问题。对线性H、H和BeH的初步基准测试表明,MRSQK可以使用非常紧凑的克里洛夫基准确预测这些系统的能量。