Future communication networks will require increased flexibility, scalability, and data computation capabilities to adequately respond to the growing number of service demands. Advanced mixed-integer network resource optimization models and algorithms are required to meet these requirements. The purpose of this article is to introduce a hybrid quantum-classical computing framework for addressing future network resource optimization issues. We begin by discussing the fundamentals of quantum computing and its parallelism. Following that, we discuss in detail the hybrid quantum-classical computing paradigm. Then, we discuss the potential applications of the proposed paradigm for network resource optimization, including network function virtualization (NFV), multi-access edge computing/fog/cloud computing, and cloud radio access networks (C-RANs). Finally, we discuss the difficulties associated with the design and implementation of hybrid quantum-classical algorithms.

Lei Fan

Zhu Han

IEEE Network

该杂志涵盖的主题包括：网络协议和架构；协议设计和验证；通讯软件；网络控制、信令和管理；网络实施（LAN、MAN、W​​AN）；和微主机通信。

The IEEE Network journal covers topics including network protocols and architectures, protocol design and verification, communication software, network control, signaling and management, network implementation (LAN, MAN, WAN), and micro-host communication.

《IEEE Network》杂志涵盖的主题包括网络协议和架构、协议设计与验证、通讯软件、网络控制、信令与管理、网络实施（包括局域网、城域网和广域网）以及微主机通信等领域。

Hybrid Quantum-Classical Computing for Future Network Optimization

A hybrid quantum-classical computing framework for addressing future network resource optimization issues and the potential applications are discussed, including network function virtualization (NFV), multi-access edge computing/fog/cloud computing, and cloud radio access networks (C-RANs).

Category	Quartile
计算机科学	2
计算机科学, 计算机硬件	1
计算机科学, 计算机信息系统	2
计算机科学, 工程电子与电气	2
计算机科学, 电信学	2

Hybrid Quantum-Classical Computing for Future Network Optimization

ivySCI AI Smartly Parses PDF, Answers Researchers' Questions, and Helps You Understand Papers in Seconds

Journal Info