Emerging Applications And Challenges In Quantum Computing A Literature

Bonisiwe Shabane
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emerging applications and challenges in quantum computing a literature

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Our research integrity and auditing teams lead the rigorous process that protects the quality of the scientific record Quantum computing has rapidly evolved into a transformative discipline with the potential to solve complex problems beyond the capabilities of classical systems. It’s emerging applications extend across critical domains including drug discovery, logistics optimization, cryptography, healthcare, finance, and secure communications. With both open-source and commercial quantum simulators now available, researchers and enterprises are actively exploring quantum solutions. Governments and private sectors worldwide have initiated significant funding programs to accelerate quantum research and innovation. This review presents a comprehensive analysis of developments in quantum hardware, software ecosystems, and industrial applications in recent years.

It highlights the growth of quantum processing capabilities, programming frameworks, and the expanding commercial interest in quantum-enabled services. Despite these advancements, key challenges remain–including qubit stability, error correction, interoperability, and limited real-world scalability. By systematically examining the current landscape, this paper outlines major research milestones, identifies existing technological gaps, and discusses future directions that could lead to practical, large-scale quantum computing systems. This is a preview of subscription content, log in via an institution to check access. Price excludes VAT (USA) Tax calculation will be finalised during checkout. Aaronson, S.: The complexity of quantum states and transformations: from quantum money to black holes.

arXiv preprint arXiv:1607.05256 (2016) Abraham, H., et al.: Qiskit: an open-source framework for quantum computing. Zenodo (2019). https://doi.org/10.5281/zenodo.2562110 Nature Computational Science volume 5, pages 1095–1097 (2025)Cite this article Quantum machine learning is being actively explored to assess whether quantum resources can enhance learning and inference, yet major obstacles remain.

Here, we discuss pressing challenges and outline potential pathways toward future practical applications. This is a preview of subscription content, access via your institution Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription Memon, Q.A.; Al Ahmad, M.; Pecht, M. Quantum Computing: Navigating the Future of Computation, Challenges, and Technological Breakthroughs.

Quantum Rep. 2024, 6, 627-663. https://doi.org/10.3390/quantum6040039 Memon QA, Al Ahmad M, Pecht M. Quantum Computing: Navigating the Future of Computation, Challenges, and Technological Breakthroughs. Quantum Reports.

2024; 6(4):627-663. https://doi.org/10.3390/quantum6040039 Memon, Qurban A., Mahmoud Al Ahmad, and Michael Pecht. 2024. "Quantum Computing: Navigating the Future of Computation, Challenges, and Technological Breakthroughs" Quantum Reports 6, no. 4: 627-663.

https://doi.org/10.3390/quantum6040039 Memon, Q. A., Al Ahmad, M., & Pecht, M. (2024). Quantum Computing: Navigating the Future of Computation, Challenges, and Technological Breakthroughs. Quantum Reports, 6(4), 627-663.

https://doi.org/10.3390/quantum6040039

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