The AI and Quantum Era: Transforming Project Management Practices
DOI:
https://doi.org/10.62411/faith.3048-3719-59Keywords:
AI-Driven Project Management, Dynamic Resource Allocation, High-Dimensional Data Optimization, Hybrid Quantum-Classical Systems, Predictive Risk Modeling, Quantum Artificial IntelligenceAbstract
Project management is changing drastically due to the integration of artificial intelligence (AI) and quantum computing (QC), redefining traditional methods. This study explores Quantum AI (QAI) and AI-driven solutions to tackle enduring issues, including resource inefficiencies, schedule delays, and budget overruns. These technologies significantly enhance project outcomes by leveraging predictive analytics, dynamic scheduling, and high-dimensional optimization. A comparative analysis of prominent case studies, including the Crossrail Project, East Side Access, and the Montreal Olympics, highlights the superior performance of AI and QAI techniques compared to conventional methods. The study shows that QAI can cut delays by 60%, optimize resource allocation with 83% efficiency, and eliminate cost overruns by up to 40% using Monte Carlo simulations and Failure Mode Effects Analysis. These results demonstrate that quantum artificial intelligence is a ground-breaking tool for handling intricate, interconnected project settings. Additionally, this study emphasizes how QAI is scalable and applicable across industries, especially in fields that need real-time optimization and high-dimensional data processing. The proposed hybrid quantum-classical paradigm provides practical solutions and sets a benchmark for efficiency, scalability, and risk mitigation in project management.
Downloads
References
A. M. Felicetti, A. Cimino, A. Mazzoleni, and S. Ammirato, “Artificial intelligence and project management: An empirical investigation on the appropriation of generative Chatbots by project managers,” J. Innov. Knowl., vol. 9, no. 3, p. 100545, Jul. 2024, doi: 10.1016/j.jik.2024.100545.
M. Lin and B. Smith, “Revolutionizing project management: Mastering efficiency with AI and CoPilot,” PM World J., vol. XIII, no. VIII, May 2024, [Online]. Available: https://pmworldlibrary.net/wp-content/uploads/2024/08/pmwj144-Aug2024-Lin-Smith-Revolutionizing-Project-Management-2nd-Edition-2.pdf
R. Patel, “Why Quantum AI is the Next Big Thing for the Future of AI,” AI Technology Insights. 2024. [Online]. Available: https://aithority.com/machine-learning/why-quantum-ai-is-the-next-big-thing-for-the-future-of-ai/
E. Lamarre, S. Chheda, M. Riba, V. Genest, and A. Nizam, “The value of digital transformation,” Harvard Business Review, 2023. https://hbr.org/2023/07/the-value-of-digital-transformation
V. Kolbjørnsrud, R. Amico, and R. J. Thomas, “The promise of artificial intelligence, redefining management in the workforce of the future,” 2016. [Online]. Available: https://www.accenture.com/_acnmedia/PDF-19/AI_in_Management_Report.pdf
K. Costello, “Gartner says 80 percent of today’s project management tasks will be eliminated by 2030 as artificial intelligence takes over.” 2019. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2019-03-20-gartner-says-80-percent-of-todays-project-management
M. El Khatib, A. Al Jaberi, and A. Al Mahri, “Benchmarking Projects’ ‘Lessons Learned’ through Knowledge Management Systems: Case of an Oil Company,” iBusiness, vol. 13, no. 01, pp. 1–17, 2021, doi: 10.4236/ib.2021.131001.
G. Lawton, “Bosch’s new partnership aims to explore quantum digital twins,” VentureBeat. 2022. [Online]. Available: https://venturebeat.com/ai/bosch-building-quantum-digital-twin/
B. Baker, “BASF and Multiverse to develop quantum forex models,” Quantum Business News. 2022. [Online]. Available: https://www.quantumbusinessnews.com/applications/basf-taps-quantum-for-forex-trading-optimization-project
Y. Gujju, A. Matsuo, and R. Raymond, “Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications,” ArXiv, Jul. 03, 2023. http://arxiv.org/abs/2307.00908
S. Heuer, “Having an AI strategy is essential to survival,” Think:Act Magazine. 2020. [Online]. Available: https://www.rolandberger.com/en/Insights/Publications/Having-an-AI-strategy-is-essential-to-survival.html
Pragmatic Coders, “What is Quantum AI? The Future of Artificial Intelligence Explained,” Pragmatic Coders, 2023. https://www.pragmaticcoders.com/blog/what-is-quantum-ai
J. Edwards, “Quantum computing and AI: A perfect match?,” InformationWeek, 2023. https://www.informationweek.com/machine-learning-ai/quantum-computing-and-ai-a-perfect-match-
J. Vieira, J. Poças Martins, N. M. de Almeida, H. Patrício, and J. Morgado, “Reshaping the Digital Twin Construct with Levels of Digital Twinning (LoDT),” Appl. Syst. Innov., vol. 6, no. 6, p. 114, Nov. 2023, doi: 10.3390/asi6060114.
M. Lahmann, “AI will transform project management. Are you ready?,” PwC Switzerland, 2018. https://www.pwc.ch/en/insights/risk/ai-will-transform-project-management-are-you-ready.html
I. Berezutskyi and T. Honcharenko, “Potential implications of artificial intelligence for project management information systems,” in International Workshop IT Project Management, 2024. [Online]. Available: https://ceur-ws.org/Vol-3709/paper3.pdf
A. Alshaikhi and M. Khayyat, “An investigation into the Impact of Artificial Intelligence on the Future of Project Management,” in 2021 International Conference of Women in Data Science at Taif University (WiDSTaif ), Mar. 2021, pp. 1–4. doi: 10.1109/WiDSTaif52235.2021.9430234.
M. Jumaev and S. Nuriddinov, “Quantum AI: The Convergence of Quantum Computing and Artificial Intelligence,” Inf. Horizons Am. J. Libr. Inf. Sci. Innov., vol. 2, no. 8, 2024.
A. Wichert, Principles of Quantum Artificial Intelligence. World Scientific, 2013. doi: 10.1142/8980.
D. Hernandez and T. B. Brown, “Measuring the Algorithmic Efficiency of Neural Networks,” ArXiv. May 08, 2020. [Online]. Available: https://arxiv.org/abs/2005.04305
T. Winker et al., “Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research,” in Companion of the 2023 International Conference on Management of Data, Jun. 2023, pp. 45–52. doi: 10.1145/3555041.3589404.
M. E. Beverland et al., “Assessing requirements to scale to practical quantum advantage,” arXiv. Nov. 14, 2022. [Online]. Available: http://arxiv.org/abs/2211.07629
P. Espel, M. Herbener, F. Rupprecht, C. Schröpfer, and A. Venus, “How Industrial Companies Can Cut Their Indirect Costs—Fast,” McKinsey & Company, 2020. https://www.mckinsey.com/~/media/McKinsey/Industries/Automotive and Assembly/Our Insights/How industrial companies can cut their indirect costs fast/How-industrial-companies-can-cut-their-indirect-costs-fast.pdf
McKinsey & Company, “Quantum Computing: An Emerging Ecosystem and Industry Use Cases,” 2024. [Online]. Available: https://www.mckinsey.com/~/media/mckinsey/business functions/mckinsey digital/our insights/quantum computing use cases are getting real what you need to know/quantum-computing-an-emerging-ecosystem.pdf
J. Preskill, “Quantum Computing in the NISQ era and beyond,” Quantum, vol. 2, p. 79, Aug. 2018, doi: 10.22331/q-2018-08-06-79.
J. Lee, E. Lapira, B. Bagheri, and H. Kao, “Recent advances and trends in predictive manufacturing systems in big data environment,” Manuf. Lett., vol. 1, no. 1, pp. 38–41, Oct. 2013, doi: 10.1016/j.mfglet.2013.09.005.
M. Schuld, I. Sinayskiy, and F. Petruccione, “An introduction to quantum machine learning,” Contemp. Phys., vol. 56, no. 2, pp. 172–185, Apr. 2015, doi: 10.1080/00107514.2014.964942.
J. Martinis, “Quantum Supremacy Using a Programmable Superconducting Processor,” Google Research, 2019. https://blog.research.google/2019/10/quantum-supremacy-using-programmable.html
IBM Research, “IBM Quantum computing,” IBM. 2023. [Online]. Available: https://research.ibm.com/quantum-computing
M.-L. How and S.-M. Cheah, “Forging the Future: Strategic Approaches to Quantum AI Integration for Industry Transformation,” AI, vol. 5, no. 1, pp. 290–323, Jan. 2024, doi: 10.3390/ai5010015.
A. Baratz, “It’s time to plan for an AI and quantum future,” Forbes, 2024. https://www.forbes.com/councils/forbestechcouncil/2024/05/16/its-time-to-plan-for-an-ai-and-quantum-future/
C. Kiessling, “Quantum computing and AI – A superpower in the making?,” Roland Berger, 2024. https://www.rolandberger.com/en/Insights/Publications/Quantum-computing-and-AI-A-superpower-in-the-making.html
L. Ahlgren, “The slowly mounting quantum investment wave,” FDI Intelligence, 2024. https://www.fdiintelligence.com/content/feature/the-slowly-mounting-quantum-investment-wave-84340
M. Corazza, R. Garcia, F. S. Khan, D. La Torre, and H. Masri, Artificial Intelligence and Beyond for Finance, vol. 15. World Scientific, 2024. doi: 10.1142/q0449.
European Commission, “Commission invests €112 million in AI and quantum research and innovation,” European Commission, 2024. https://digital-strategy.ec.europa.eu/en/news/commission-invests-eu112-million-ai-and-quantum-research-and-innovation
P. Gokhale, “The Synergy Between Quantum Computing and AI,” IoT World Today, 2024. https://www.iotworldtoday.com/quantum/the-synergy-between-quantum-computing-and-ai#close-modal
E. Ralls, “Quantum AI chip taps into ‘parallel universes’ and solves equation in 5 minutes that would normally take 1 septillion years,” Earth.com, 2024. https://www.earth.com/news/google-record-shattering-quantum-ai-chip-accesses-parallel-universes/
D. Kim, J. Kang, T. W. Kim, Y. Pan, and J. H. Park, “The future of quantum information: Challenges and vision,” J. Inf. Process. Syst., vol. 17, no. 1, pp. 19–36, 2021, doi: 10.3745/JIPS.01.0063.
A. M. Rodriguez and R. P. Garcia, “Ethical implications of quantum AI: A critical analysis,” J. Artif. Intell. Res., vol. 15, no. 4, pp. 78–91, 2021.
I. H. Deutsch, “Harnessing the Power of the Second Quantum Revolution,” PRX Quantum, vol. 1, no. 2, p. 020101, Nov. 2020, doi: 10.1103/PRXQuantum.1.020101.
M. Vogel, “Quantum Computation and Quantum Information, by M.A. Nielsen and I.L. Chuang,” Contemp. Phys., vol. 52, no. 6, pp. 604–605, Nov. 2011, doi: 10.1080/00107514.2011.587535.
R. Orús, S. Mugel, and E. Lizaso, “Quantum computing for finance: Overview and prospects,” Rev. Phys., vol. 4, p. 100028, Nov. 2019, doi: 10.1016/j.revip.2019.100028.
C. Dilmegani, “In-Depth Guide to Quantum Artificial Intelligence [’25],” AI Multiple Research. 2024. [Online]. Available: https://research.aimultiple.com/quantum-ai/
University of New South Wales, “Major Breakthrough As Quantum Computing in Silicon Hits 99% Accuracy,” SciTechDaily, 2022.
OpenAI, “AI and compute,” OpenAI, 2018. https://openai.com/index/ai-and-compute/
I. P. Idoko, O. M. Ijiga, L. A. Enyejo, S. I. Ugbane, O. Akoh, and M. O. Odeyemi, “Exploring the potential of Elon musk’s proposed quantum AI: A comprehensive analysis and implications,” Glob. J. Eng. Technol. Adv., vol. 18, no. 3, pp. 048–065, Mar. 2024, doi: 10.30574/gjeta.2024.18.3.0037.
D. Widdows, K. Kitto, and T. Cohen, “Quantum Mathematics in Artificial Intelligence,” J. Artif. Intell. Res., vol. 72, pp. 1307–1341, Dec. 2021, doi: 10.1613/jair.1.12702.
Harvard Business Review, “Rewired for value: Digital and AI transformations that work,” McKinsey & Company. Jul. 2023. [Online]. Available: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/rewired-for-value-digital-and-ai-transformations-that-work
ThoughtSpot, “ThoughtSpot experiences historic year of growth as customers around the world realize unprecedented value from AI-powered analytics,” Globe Newswire. Sep. 2023. [Online]. Available: https://www.globenewswire.com/news-release/2023/09/21/2747321/0/en/ThoughtSpot-Experiences-Historic-Year-of-Growth-as-Customers-Around-the-World-Realize-Unprecedented-Value-from-AI-Powered-Analytics.html
N. Dacre and F. Kockum, “Artificial intelligence in project management: A review of AI’s usefulness and future considerations for the project profession,” Jun. 2022. doi: 10.61175/DOGX9829.
I. Taboada, A. Daneshpajouh, N. Toledo, and T. de Vass, “Artificial Intelligence Enabled Project Management: A Systematic Literature Review,” Appl. Sci., vol. 13, no. 8, p. 5014, Apr. 2023, doi: 10.3390/app13085014.
E. Stefani and I. Costa, “Digital Transformation Risks Dimensions and impacts from a systemic and structural perspective,” 2023.
P. Biolcheva, “The place of artificial intelligence in the risk management process,” SHS Web Conf., vol. 120, p. 02013, Aug. 2021, doi: 10.1051/shsconf/202112002013.
H. Hasmukh, “Application of Artificial Intelligence in Project Management,” ISCTE, 2024.
A. Barcaui and A. Monat, “Who is better in project planning?Generative artificial intelligence or project managers?,” Proj. Leadersh. Soc., vol. 4, p. 100101, Dec. 2023, doi: 10.1016/j.plas.2023.100101.
Transport for London / Department for Transport, “Crossrail Baseline Evaluation May 2022: Case study report,” May 2022. [Online]. Available: https://content.tfl.gov.uk/case-study-report-acc.pdf
RTM, “The challenge of completing Crossrail,” Rail Technology Magazine, 2019. https://www.railtechnologymagazine.com/Comment/the-challenge-of-completing-crossrail
M. W. Obe, “Project leadership: Getting Crossrail back on track,” 2020. [Online]. Available: https://learninglegacy.crossrail.co.uk/wp-content/uploads/2023/03/Project-Leadership-Getting-Crossrail-back-on-track.pdf
N. Gerrard, “7 construction megaprojects that severely overran their budget,” Construction Briefing. 2023. [Online]. Available: https://www.constructionbriefing.com/news/7-construction-megaprojects-that-severely-overran-their-budget/8029458.article
T. P. DiNapoli and K. B. Bleiwas, “Metropolitan Transportation Authority: East Side Access cost overruns,” 2013. [Online]. Available: https://www.osc.ny.gov/files/reports/osdc/pdf/report-12-2013.pdf
Metropolitan Transportation Authority (MTA), “East Side Access,” MTA projects, 2024. https://new.mta.info/project/east-side-access
International Olympic Committee, “The Economics of Montreal 1976,” olympics.com, 2024. https://olympics.com/ioc/news/the-economics-of-montreal-1976
T. Vincent, “How to explain Olympic Games cost overruns in terms of project management,” PM World J., vol. VIII, no. IV, 2019, [Online]. Available: https://pmworldlibrary.net/wp-content/uploads/2019/05/pmwj81-May2019-Vincent-how-to-explain-olympics-cost-overruns.pdf
A. Patel, P. A. Bosela, and N. J. Delatte, “1976 Montreal Olympics: Case Study of Project Management Failure,” J. Perform. Constr. Facil., vol. 27, no. 3, pp. 362–369, Jun. 2013, doi: 10.1061/(ASCE)CF.1943-5509.0000332.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Ali Aliyev
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
