# Quantum Cloud Computing: Trends and Challenges

arXiv: https://arxiv.org/abs/2404.19612 · HTML: https://mlsanity.com/paper/2404.19612/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Apr 2024.

## Built on by (most cited first, 2 of 2)

- [Cloud Computing Energy Consumption Prediction Based on Kernel Extreme Learning Machine Algorithm Improved by Vector Weighted Average Algorithm](https://mlsanity.com/paper/2503.04088/) (2025)
- [QAISim: A Toolkit for Modeling and Simulation of AI in Quantum Cloud Computing Environments](https://mlsanity.com/paper/2512.17918/) (2025)

## Abstract (arXiv)

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.