论文标题
IBM QX硬件上量子贝叶斯网络的实验评估
Experimental evaluation of quantum Bayesian networks on IBM QX hardware
论文作者
论文摘要
贝叶斯网络（BN）是概率图形模型，可广泛用于不确定性建模，随机预测和概率推断。量子贝叶斯网络（QBN）是贝叶斯网络的量子版本，它利用量子机械系统的原理来改善各种分析的计算性能。在本文中，我们通过实验评估QBM QX硬件对Qiskit模拟器和经典分析的性能。我们考虑一个4节点的库存预测，用于我们的实验评估。我们构建一个量子电路来代表使用Qiskit的4节点BN，并在9个IBM量子设备上运行电路：约克镇，Vigo，Ourense，Essex，Burlington，Burlington，London，Rome，Rome，Rome，Rome，Athens和Melbourne。我们还将比较IBM转板器在将给定量子电路映射到给定设备时执行的四个优化级别的性能。我们使用均方根百分比误差作为指标，以比较各种硬件。
Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference. A Quantum Bayesian Network (QBN) is a quantum version of the Bayesian network that utilizes the principles of quantum mechanical systems to improve the computational performance of various analyses. In this paper, we experimentally evaluate the performance of QBN on various IBM QX hardware against Qiskit simulator and classical analysis. We consider a 4-node BN for stock prediction for our experimental evaluation. We construct a quantum circuit to represent the 4-node BN using Qiskit, and run the circuit on nine IBM quantum devices: Yorktown, Vigo, Ourense, Essex, Burlington, London, Rome, Athens and Melbourne. We will also compare the performance of each device across the four levels of optimization performed by the IBM Transpiler when mapping a given quantum circuit to a given device. We use the root mean square percentage error as the metric for performance comparison of various hardware.
