Internet traffic is dramatically increasing with the development of network technologies. Within the total traffic, video streaming traffic accounts for a large amount, which reveals the importance to guarantee the quality of content delivery service. Based on the network conditions, adaptive bitrate (ABR) control is utilized as a common technique which can choose the proper bitrate to ensure the video streaming quality. In this paper, a new bitrate control method, QuDASH is proposed by taking advantage of the emerging quantum technology. In QuDASH, the adaptive control model is developed using the quadratic unconstrained binary optimization (QUBO), which aims at increasing the average bitrate and decreasing the video rebuffering events to maximize the user quality of experience (QoE). Then, the control model is solved by Digital Annealer, which is a quantum-Inspired computing technology. The evaluation of the proposed method is carried out by simulation with the measured throughput traces in real world. Experiment results demonstrated that the proposed QuDASH method has better performance in terms of QoE compared with other advanced ABR methods. In 68.2% of the examined cases, QuDASH achieves the highest QoE results, which shows the superiority of the QuDASH over conventional methods.

翻译：随着网络技术的发展,互联网通信量正在急剧增加。在总流量中,视频流流量流量占很大比例,表明保证内容提供服务质量的重要性。根据网络条件,将适应性比特率(ABR)控制作为一种通用技术,可以选择适当的比特率,以确保视频流质量。在本文中,一个新的比特率控制方法是利用新兴量子技术来提议QDASH。在QuDASH中,适应性控制模式是使用四级非限制的二进制优化(QUBO)开发的,其目的在于提高平均比特率和减少视频阻塞事件,以最大限度地提高用户经验质量(QE)。随后,控制模式由数字安妮纳(Digital Annaler)解决,这是一个量性计算机技术。对拟议方法的评估是通过模拟真实世界中测量的吞吐量痕迹进行的。实验结果表明,拟议的QuDASH方法与其他先进的ABR方法相比在QOE方面表现得更好。在68.2%的视频阻塞事件中,检查的QASHSA(Q)优于最高水平。