Paper Details

Name: Sonali Banyal & Rishabh Sharma
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 723-733
DOI: https://doi.org/10.5281/zenodo.19109353

ABSTRACT
A revolutionary change in the world of computation- ally intensive applications is represented by the mainstreaming of quantum computers into services provided by the cloud. This paper explores the synergy between quantum computing and cloud infrastructures, emphasizing how their convergence can address the computational demands of modern industries. We present an in-depth analysis of existing frameworks, ar- chitectures, and methodologies enabling this fusion, pointing up important issues such data transmission latencies, error correction, and limitations of quantum technology. Furthermore, we provide a brand-new hybrid integration model that max- imizes task distribution among cloud-based conventional and quantum resources, guaranteeing smooth operation and lower overhead. Quantum computing, or QC, has enormous potential to further scientific research in fields including neural networks, optimization, as quantum chemical science. The external noise present in the current noisy intermediate-scale quantum (NISQ) era, however, continues to pose serious problems to QC. The integration of QC as a computational accelerator in traditional
high-performance computing (HPC) systems is examined in this work. Using a variety of simulators and quantum hardware, we provide a hardware-neutral framework to use QC to improve the abilities for conventional HPC. Using the Department of Energy’s (DOE) lifetime management skills plus leveraging Oak Ridge National Laboratory’s (ORNL) HPC expertise, our strategy focuses on strategically integrating QC acceleration into current HPC processes. For the DOE and the Office of Naval Research missions, this entails thorough assessments, benchmarking, and code optimization. The framework creates a unified environment that facilitates research on both quantum and conventional computing by integrating hardware, software, processes, and user interfaces. By bridging QC and HPC, this paper aims to open new
computational opportunities, driving scientific innovation and enabling groundbreaking advancements across various
research domains.
Index Terms—Quantum-Cloud Integration, Quantum Algo- rithms, Cloud Infrastructure, Hybrid Computing Models, Scalable Computing.