Revolutionizing Smart Business Through Quantum Computing Innovation
Keywords:
Quantum computing, Smart business, AI-driven systems, Supply chain optimization, Predictive analyticsAbstract
Quantum computing is set to revolutionize smart businesses by enabling unprecedented computational power for solving complex problems and optimizing decision-making processes. This article explores how quantum algorithms integrate with AI-driven systems to transform key areas such as supply chain management, predictive analytics, and cybersecurity. By leveraging quantum-AI synergy, smart businesses can process vast amounts of data in real-time, providing faster and more accurate insights for dynamic environments. The article also delves into the role of quantum computing in risk management, adaptive pricing strategies, and sustainable business practices, highlighting its potential to address challenges in uncertainty and scalability. Ethical considerations and barriers to adoption, such as cost and technological maturity, are discussed alongside future trends toward hybrid quantum-smart ecosystems. Ultimately, this piece underscores quantum computing's transformative potential to redefine the competitive edge of smart businesses in the evolving digital economy.
References
Abdi, H., & Nozari, H. (2023). Genetic Algorithm to Solve the Fuzzy Multi-Product Production Planning Model. Applied Innovations in Industrial Management, 3(1), 1-12.
Bennett, C. H., & Brassard, G. (1984). Quantum cryptography: Public key distribution and coin tossing. Proceedings of the IEEE International Conference on Computers, Systems, and Signal Processing, 175–179.
Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency (FAT), 149–159. https://doi.org/10.1145/3287560.3287583
Chuang, I., Nielsen, M. A., & Laflamme, R. (2010). Quantum computation and quantum information (10th Anniversary Edition). Cambridge University Press.
Edge, C., Chhabra, P., & Chen, J. (2021). Hybrid quantum and classical computing for edge devices: Opportunities and challenges. IEEE Internet of Things Journal, 8(12), 9381–9390. https://doi.org/10.1109/JIOT.2021.3072514
Ivanov, D., & Dolgui, A. (2020). OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications. International Journal of Production Economics, 232, 107921. https://doi.org/10.1016/j.ijpe.2020.107921
Lloyd, S., Mohseni, M., & Rebentrost, P. (2014). Quantum principal component analysis. Nature Physics, 10(9), 631–633. https://doi.org/10.1038/nphys3029
Momtazi, M., Movahed, A. B., Movahed, A. B., & Nozari, H. (2024). Effective smart supply chain in the era of technologies. Hamed Nozari.
Movahed, A. B., Movahed, A. B., & Nozari, H. (2024). Marketing 6.0 Conceptualization. In Advanced Businesses in Industry 6.0 (pp. 15-31). IGI Global.
Nielsen, M. A., & Chuang, I. L. (2000). Quantum computation and quantum information. Cambridge University Press.
Nozari, H., & Aliahmadi, A. (2022). Lean supply chain based on IoT and blockchain: Quantitative analysis of critical success factors (CSF). Journal of Industrial and Systems Engineering, 14(3), 149-167.
Orús, R., Mugel, S., & Lizaso, E. (2019). Quantum computing for finance: Overview and prospects. Reviews in Physics, 4, 100028. https://doi.org/10.1016/j.revip.2019.100028
Preskill, J. (2018). Quantum computing in the NISQ era and beyond. Quantum, 2, 79. https://doi.org/10.22331/q-2018-08-06-79
Rebentrost, P., Gupt, B., & Bromley, T. R. (2018). Quantum computational finance: Monte Carlo pricing of financial derivatives. Physical Review A, 98(2), 022321. https://doi.org/10.1103/PhysRevA.98.022321
Schuld, M., Sinayskiy, I., & Petruccione, F. (2019). Quantum machine learning: What quantum computing means to data mining. Physical Review Letters, 122(21), 210401. https://doi.org/10.1103/PhysRevLett.122.210401
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