Quantum Cloud Computing: Trends and Challenges

TL;DR

Quantum cloud computing combines quantum and classical cloud systems, promising significant computational advantages but faces challenges like qubit stability and resource management, requiring further research to realize its potential.

Contribution

This paper provides a comprehensive overview of the trends, advantages, challenges, and research gaps in quantum cloud computing, highlighting areas for future investigation.

Findings

Quantum computing offers advantages over classical computing in data processing.

QCC faces challenges such as qubit stability and resource allocation.

Research gaps include security, scalability, and cost considerations.

Abstract

Quantum computing (QC) is a new paradigm that will revolutionize various areas of computing, especially cloud computing. QC, still in its infancy, is a costly technology capable of operating in highly isolated environments due to its rapid response to environmental factors. For this reason, it is still a challenging technology for researchers to reach. Integrating QC into an isolated remote server, like a cloud, and making it available to users can overcome these problems. Furthermore, experts predict that QC, with its ability to swiftly resolve complex and computationally intensive operations, will offer significant benefits in systems that process large amounts of data, like cloud computing. This article presents the vision and challenges for the quantum cloud computing (QCC) paradigm that will emerge with the integration of quantum and cloud computing. Next, we present the advantages of QC over classical computing applications. We analyze the effects of QC on cloud systems, such as cost, security, and scalability. Besides all of these advantages, we highlight research gaps in QCC, such as qubit stability and efficient resource allocation. This article identifies QCC's advantages and challenges for future research, highlighting research gaps.