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Virtual QPU: A Novel Implementation of Quantum Computing

Danyang Zheng*, Jinchen Xv, Xin Zhou, Zheng Shan

Information Engineering University, Zhengzhou, 450001, China

* Corresponding Author: Danyang Zheng. Email: email

Computers, Materials & Continua 2026, 87(1), 40 https://doi.org/10.32604/cmc.2025.073860

Abstract

The increasing popularity of quantum computing has resulted in a considerable rise in demand for cloud quantum computing usage in recent years. Nevertheless, the rapid surge in demand for cloud-based quantum computing resources has led to a scarcity. In order to meet the needs of an increasing number of researchers, it is imperative to facilitate efficient and flexible access to computing resources in a cloud environment. In this paper, we propose a novel quantum computing paradigm, Virtual QPU (VQPU), which addresses this issue and enhances quantum cloud throughput with guaranteed circuit fidelity. The proposal introduces three innovative concepts: (1) The integration of virtualization technology into the field of quantum computing to enhance quantum cloud throughput. (2) The introduction of an asynchronous execution of circuits methodology to improve quantum computing flexibility. (3) The development of a virtual QPU allocation scheme for quantum tasks in a cloud environment to improve circuit fidelity. The concepts have been validated through the utilization of a self-built simulated quantum cloud platform.

Keywords

Quantum computing scheduling; parallel computing; computational paradigm

Cite This Article

APA Style
Zheng, D., Xv, J., Zhou, X., Shan, Z. (2026). Virtual QPU: A Novel Implementation of Quantum Computing. Computers, Materials & Continua, 87(1), 40. https://doi.org/10.32604/cmc.2025.073860
Vancouver Style
Zheng D, Xv J, Zhou X, Shan Z. Virtual QPU: A Novel Implementation of Quantum Computing. Comput Mater Contin. 2026;87(1):40. https://doi.org/10.32604/cmc.2025.073860
IEEE Style
D. Zheng, J. Xv, X. Zhou, and Z. Shan, “Virtual QPU: A Novel Implementation of Quantum Computing,” Comput. Mater. Contin., vol. 87, no. 1, pp. 40, 2026. https://doi.org/10.32604/cmc.2025.073860



cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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