论文标题
通过更具代表性的量子电路形状改进的量子计算机的体积度量
An Improved Volumetric Metric for Quantum Computers via more Representative Quantum Circuit Shapes
论文作者
论文摘要
在这项工作中，我们提出了当前最广泛使用的量子计算硬件公制称为量子体积的概括。量子体积指定了定义的随机测试电路家族，以便逻辑电路深度等于计算中使用的量子位数。但是，这种平方电路形状与许多人可能希望使用量子计算机的特定应用并不直接相关。基于对已知量子算法的可用资源估计值，我们将量子体积推广到少数代表性电路形状，我们根据问题大小（Qubit编号）的逻辑电路深度（时间）的缩放行为（时间）的缩放行为，称为量子体积类别。
In this work, we propose a generalization of the current most widely used quantum computing hardware metric known as the quantum volume. The quantum volume specifies a family of random test circuits defined such that the logical circuit depth is equal to the total number of qubits used in the computation. However, such square circuit shapes do not directly relate to many specific applications for which one may wish to use a quantum computer. Based on surveying available resource estimates for known quantum algorithms, we generalize the quantum volume to a handful of representative circuit shapes, which we call Quantum Volumetric Classes, based on the scaling behavior of the logical circuit depth (time) with the problem size (qubit number).
