论文标题
一种用于使用噪声在量子计算机上求解开放系统动力学的量子算法
A quantum algorithm for solving open system dynamics on quantum computers using noise
论文作者
论文摘要
在本文中，我们提出了一种使用噪声作为资源的量子算法。我们的量子算法的目的是计算及时演变的开放量子系统的操作员平均值。选定的低噪声系统Qubits和嘈杂的浴缸代表开放量子系统的系统和浴室。所有不连贯的量子噪声都可以映射到浴光谱函数。光谱函数的形式可以数字调整，从而可以在有限温度下进行广泛的开放系统模型的时间演变。我们研究了这种方法的可行性，重点是旋转玻色子模型的溶液，并假设由阻尼和脱落主导的固有量子噪声。我们发现，即使算法误差高达1％，我们的算法的性能也非常出色，因此存在开放量子系统的类别。通常，如果可以将系统托管相互作用分解为天然门，则提供的算法表现最好。
In this paper we present a quantum algorithm that uses noise as a resource. The goal of our quantum algorithm is the calculation of operator averages of an open quantum system evolving in time. Selected low-noise system qubits and noisy bath qubits represent the system and the bath of the open quantum system. All incoherent qubit noise can be mapped to bath spectral functions. The form of the spectral functions can be tuned digitally, allowing for the time evolution of a wide range of open-system models at finite temperature. We study the feasibility of this approach with a focus on the solution of the spin-boson model and assume intrinsic qubit noise that is dominated by damping and dephasing. We find that classes of open quantum systems exist where our algorithm performs very well, even with gate errors as high as 1%. In general the presented algorithm performs best if the system-bath interactions can be decomposed into native gates.
