Sherbert Kyle, Cerasoli Frank, Buongiorno Nardelli Marco
Department of Physics, University of North Texas Denton TX 76303 USA
Santa Fe Institute Santa Fe NM 87501 USA.
RSC Adv. 2021 Dec 10;11(62):39438-39449. doi: 10.1039/d1ra07451b. eCollection 2021 Dec 6.
Quantum computers promise to revolutionize our ability to simulate molecules, and cloud-based hardware is becoming increasingly accessible to a wide body of researchers. Algorithms such as Quantum Phase Estimation and the Variational Quantum Eigensolver are being actively developed and demonstrated in small systems. However, extremely limited qubit count and low fidelity seriously limit useful applications, especially in the crystalline phase, where compact orbital bases are difficult to develop. To address this difficulty, we present a hybrid quantum-classical algorithm to solve the band structure of any periodic system described by an adequate tight-binding model. We showcase our algorithm by computing the band structure of a simple-cubic crystal with one s and three p orbitals per site (a simple model for polonium) using simulators with increasingly realistic levels of noise and culminating with calculations on IBM quantum computers. Our results show that the algorithm is reliable in a low-noise device, functional with low precision on present-day noisy quantum computers, and displays a complexity that scales as Ω( ) with the number of tight-binding orbitals per unit-cell, similarly to its classical counterparts. Our simulations offer a new insight into the "quantum" mindset and demonstrate how the algorithms under active development today can be optimized in special cases, such as band structure calculations.
量子计算机有望彻底改变我们模拟分子的能力,并且基于云的硬件正越来越多地为广大研究人员所使用。诸如量子相位估计和变分量子本征求解器等算法正在小系统中积极开发和演示。然而,量子比特数量极其有限且保真度低严重限制了其实际应用,尤其是在晶体相中,在该相中难以开发紧凑的轨道基。为了解决这一难题,我们提出了一种混合量子 - 经典算法,用于求解由适当的紧束缚模型描述的任何周期性系统的能带结构。我们通过使用具有越来越逼真噪声水平的模拟器计算每个格点有一个s轨道和三个p轨道的简单立方晶体(钋的一个简单模型)的能带结构,并最终在IBM量子计算机上进行计算,来展示我们的算法。我们的结果表明,该算法在低噪声设备中是可靠的,在当今有噪声的量子计算机上以低精度运行时也能正常工作,并且显示出与经典算法类似的复杂度,其随每个晶胞中紧束缚轨道数量 呈Ω( ) 比例缩放。我们的模拟为“量子”思维方式提供了新的见解,并展示了当今正在积极开发的算法如何在特殊情况下(如能带结构计算)进行优化。