The Opportunities and Challenges in Integrating AI with Quantum Computing
The convergence of Artificial Intelligence (AI) and Quantum Computing (QC) marks a potentially transformative technological frontier. This study explores the synergistic integration of these fields, analyzing the landscape of opportunities and challenges arising from their combination. Quantum comp...
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| Format: | Article |
| Language: | English |
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University of Applied Sciences in Bielsko-Biała
2025-06-01
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| Series: | Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej |
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| Online Access: | https://asej.eu/index.php/asej/article/view/850 |
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| author | Tomasz Słapczyński Marlena Stradomska |
| author_facet | Tomasz Słapczyński Marlena Stradomska |
| author_sort | Tomasz Słapczyński |
| collection | DOAJ |
| description |
The convergence of Artificial Intelligence (AI) and Quantum Computing (QC) marks a potentially transformative technological frontier. This study explores the synergistic integration of these fields, analyzing the landscape of opportunities and challenges arising from their combination. Quantum computing offers the promise to enhance AI by overcoming computational bottlenecks and enabling novel algorithms, particularly within machine learning and optimization. This analysis reveals significant opportunities in areas like accelerated machine learning, tackling intractable problems, and processing quantum data. However, substantial challenges currently impede progress, primarily due to limitations in Noisy Intermediate-Scale Quantum (NISQ) hardware, algorithmic complexities in demonstrating practical quantum advantage, and practical hurdles in implementation and interdisciplinary expertise. Despite these challenges, the synergistic potential of AI-QC integration remains immense, promising a paradigm shift in computational capabilities with the continued advancement of both fields, ultimately poised to revolutionize science, industry, and society
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| format | Article |
| id | doaj-art-1064b154560543d2b6d57e185c6064b9 |
| institution | DOAJ |
| issn | 2543-9103 2543-411X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | University of Applied Sciences in Bielsko-Biała |
| record_format | Article |
| series | Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej |
| spelling | doaj-art-1064b154560543d2b6d57e185c6064b92025-08-20T03:14:35ZengUniversity of Applied Sciences in Bielsko-BiałaZeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej2543-91032543-411X2025-06-0129210.19192/wsfip.sj2.2025.8The Opportunities and Challenges in Integrating AI with Quantum Computing Tomasz Słapczyński0Marlena Stradomska1Maria Curie-Sklodowska University in LublinMaria Curie Sklodowska University Lublin The convergence of Artificial Intelligence (AI) and Quantum Computing (QC) marks a potentially transformative technological frontier. This study explores the synergistic integration of these fields, analyzing the landscape of opportunities and challenges arising from their combination. Quantum computing offers the promise to enhance AI by overcoming computational bottlenecks and enabling novel algorithms, particularly within machine learning and optimization. This analysis reveals significant opportunities in areas like accelerated machine learning, tackling intractable problems, and processing quantum data. However, substantial challenges currently impede progress, primarily due to limitations in Noisy Intermediate-Scale Quantum (NISQ) hardware, algorithmic complexities in demonstrating practical quantum advantage, and practical hurdles in implementation and interdisciplinary expertise. Despite these challenges, the synergistic potential of AI-QC integration remains immense, promising a paradigm shift in computational capabilities with the continued advancement of both fields, ultimately poised to revolutionize science, industry, and society https://asej.eu/index.php/asej/article/view/850Quantum AIQuantum Machine Learning (QML)Hybrid Quantum-Classical ComputingComputational AdvantageNISQ Era Challenges |
| spellingShingle | Tomasz Słapczyński Marlena Stradomska The Opportunities and Challenges in Integrating AI with Quantum Computing Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej Quantum AI Quantum Machine Learning (QML) Hybrid Quantum-Classical Computing Computational Advantage NISQ Era Challenges |
| title | The Opportunities and Challenges in Integrating AI with Quantum Computing |
| title_full | The Opportunities and Challenges in Integrating AI with Quantum Computing |
| title_fullStr | The Opportunities and Challenges in Integrating AI with Quantum Computing |
| title_full_unstemmed | The Opportunities and Challenges in Integrating AI with Quantum Computing |
| title_short | The Opportunities and Challenges in Integrating AI with Quantum Computing |
| title_sort | opportunities and challenges in integrating ai with quantum computing |
| topic | Quantum AI Quantum Machine Learning (QML) Hybrid Quantum-Classical Computing Computational Advantage NISQ Era Challenges |
| url | https://asej.eu/index.php/asej/article/view/850 |
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