论文标题
使用树张量网络模拟量子电路
Simulating quantum circuits using tree tensor networks
论文作者
论文摘要
我们通过将量子状态表示为扎根的树张量网络来开发和分析一种模拟经典计算机上量子电路的方法。我们的算法首先确定适合量子电路产生的预期纠缠的合适的固定树结构。通过将单量门门吸收到叶子节点中,并通过奇异的值分解并通过树将产生的虚拟键螺纹将两倍的门分开,从而将门依次应用于树上。理论上,我们分析了该方法的适用性及其计算成本和内存要求,并根据矩阵产品状态表示,根据所需的债券维度确定有利的方案。该研究通过数值实验补充,用于不同量子电路的布局,最多37量QUB。
We develop and analyze a method for simulating quantum circuits on classical computers by representing quantum states as rooted tree tensor networks. Our algorithm first determines a suitable, fixed tree structure adapted to the expected entanglement generated by the quantum circuit. The gates are sequentially applied to the tree by absorbing single-qubit gates into leaf nodes, and splitting two-qubit gates via singular value decomposition and threading the resulting virtual bond through the tree. We theoretically analyze the applicability of the method as well as its computational cost and memory requirements, and identify advantageous scenarios in terms of required bond dimensions as compared to a matrix product state representation. The study is complemented by numerical experiments for different quantum circuit layouts up to 37 qubits.