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Kuantum Şifrelemenin Süper Yapay Zeka ile Potansiyel Entegrasyonu Üzerine Bir Tartışma

Yıl 2025, Cilt: 18 Sayı: 1, 63 - 76, 31.01.2025
https://doi.org/10.17671/gazibtd.1521796

Öz

Bu çalışma, süper yapay zekâ (SAI) ile kuantum şifrelemenin muhtemel entegrasyonunu incelemektedir. Kuantum mekaniğinin prensiplerinden yararlanarak hassas bilgileri güvence altına alan devrim niteliğinde bir teknoloji olan kuantum şifreleme, kuantum anahtar dağıtımı (QKD) ve kuantum dolanıklık gibi mekanizmalarla benzersiz bir güvenlik vaat ederken, aynı zamanda önemli zorluklarla da karşı karşıyadır. Bu zorluklar arasında gürültüye duyarlılık, ölçeklenebilirlik kısıtlamaları, yüksek uygulama maliyetleri ve kamuoyunda güven eksikliği yer almaktadır. Kuantum hesaplamanın gelişimiyle birlikte geleneksel şifreleme yöntemleri giderek daha fazla tehlike altına girmekte ve kuantum dirençli çözümler ihtiyacını acil hale getirmektedir. Çalışma, SAI'nin kuantum şifreleme ile entegre edildiğinde güvenliği artırma potansiyeline sahip olduğunu, ancak aynı zamanda güvenlik ihlalleri, önyargı ve şeffaflık sorunları gibi yeni riskler ortaya çıkarabileceğini önermektedir. Bu riskleri ve faydaları analiz ederek, çalışmanın amacı bu entegrasyonun avantajlarını en üst düzeye çıkarmak için risk azaltma stratejileri geliştirmektir. Kuantum şifrelemenin kavramsal ve teorik temellerini derinlemesine inceleyen çalışma, kritik araçları, metodolojileri ve değişkenleri ele alarak gelecekteki piyasa trendlerine ve ekonomik etkilere dair önemli öngörüler sunmaktadır. Araştırma ayrıca, kuantum şifreleme protokollerinde güvenli anahtar kurulumu başarı olasılığını nicel olarak belirlemek için bir fonksiyon modeli önermektedir. Sonuç olarak, bu çalışma, SAI ve kuantum şifrelemenin birleşimi etrafındaki riskler ve fırsatlar hakkında anlayışı ilerletmeye katkıda bulunarak çeşitli sektörlerde güvenli ve ölçeklenebilir uygulamalar için değerli öneriler sunmaktadır.

Kaynakça

  • Gisin, Nicolas, and Rob Thew. "Quantum Communication." Nature Photonics, vol. 1, no. 3, 2007, pp. 165-171.
  • Ekert, Artur K. "Quantum Cryptography Based on Bell's Theorem." Physical Review Letters, vol. 67, no. 6, 1991, pp. 661-663.
  • Bennett, Charles H., and Gilles Brassard. "Quantum Cryptography: Public Key Distribution and Coin Tossing." Proceedings of IEEE International Conference on Computers, Systems and Signal Processing, 1984, pp. 175-179.
  • Bennett, Charles H., et al. "Teleporting an Unknown Quantum State via Dual Classical and Einstein-Podolsky-Rosen Channels." Physical Review Letters, vol. 70, no. 13, 1993, pp. 1895-1899.
  • Nielsen, Michael A., and Isaac L. Chuang. Quantum Computation and Quantum Information. Cambridge University Press, 2010.
  • Pirandola, Stefano, et al. "Advances in Quantum Teleportation." Advances in Optics and Photonics, vol. 9, no. 2, 2017, pp. 225-287.
  • Lo, Hoi-Kwong, H. F. Chau, and M. Ardehali. "Efficient Quantum Key Distribution Scheme and a Proof of Its Unconditional Security." Journal of Cryptology, vol. 18, no. 2, 1999, pp. 133-165.
  • Scarani, Valerio, et al. "The Security of Practical Quantum Key Distribution." Reviews of Modern Physics, vol. 81, no. 3, 2019, pp. 1301-1350.
  • Sasaki, Masahide, and Yoshihisa Yamamoto. "Security of Quantum Key Distribution." Quantum Communication, Computing, and Measurement 3, Springer, 2014, pp. 235-273.
  • [Ekert, Artur. "Quantum Cryptography: From Theory to Practice." Quantum Information and Computation for Chemistry, Springer, 2014, pp. 87-109.
  • Klauck, Hartmut. Quantum Information Processing. Springer, 2018.
  • Giraud-Carrier, Christophe, et al. "Post-Quantum Cryptography: State of the Art and Future Directions." International Journal of Information Security, vol. 16, no. 5, 2017, pp. 431-436.
  • Agrawal, Shweta, et al. "Fully Homomorphic Encryption Beyond the Circuits-to-Circuit Paradigm." Journal of Cryptology, vol. 33, no. 1, 2020, pp. 1-34.
  • Sangouard, Nicolas, Christoph Simon, and Nicolas Gisin. "Quantum Repeaters Based on Atomic Ensembles and Linear Optics." Reviews of Modern Physics, vol. 83, no. 1, 2011, pp. 33-80.
  • MarketsandMarkets. "Quantum Cryptography Market Worth $1,093 Million by 2026." MarketsandMarkets, 2020.
  • Mordor Intelligence. "Artificial Intelligence Market – Global Outlook and Forecast 2019-2024." Mordor Intelligence, 2019.
  • IBM Newsroom. "Vodafone and IBM Collaborate to Bring Quantum-Safe Cybersecurity to Telecoms Industry." IBM, 28 Apr. 2023.
  • Ansmann, Georg, et al. "Hacking Commercial Quantum Cryptosystems by Tailored Bright Illumination." Nature Physics, vol. 5, no. 6, 2009, pp. 535-538.
  • Frey, Carl Benedikt, and Michael A. Osborne. "The Future of Employment: How Susceptible Are Jobs to Computerisation?" Technological Forecasting and Social Change, vol. 80, no. 1, 2013, pp. 47-61.
  • Barocas, Solon, and Andrew D. Selbst. "Big Data’s Disparate Impact." California Law Review, vol. 104, no. 1, 2016, pp. 671-732.
  • Bowker, Geoffrey C., and Susan Leigh Star. Sorting Things Out: Classification and Its Consequences. MIT Press, 2000.
  • Russell, S. J., and P. Norvig. Artificial Intelligence: A Modern Approach. 3rd ed., Pearson Education, 2010.
  • Tibshirani, R. "Regression Shrinkage and Selection via the Lasso: A Retrospective." Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 73, no. 3, 2011, pp. 273-282.
  • Christensen, C. M. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press, 1997.
  • NIST. "Post-Quantum Cryptography." National Institute of Standards and Technology, 2021, https://www.nist.gov/quantum-information-science/post-quantum-cryptography.
  • Briegel, H. J., et al. "Quantum Repeaters: The Role of Imperfect Local Operations in Quantum Communication." Physical Review Letters, vol. 81, no. 26, 1998, pp. 5932-5935.
  • Brunner, N., et al. "Certified Randomness and Quantum State Tomography." Nature Physics, vol. 10, no. 12, 2014, pp. 961-964.
  • Saleh, B. E. A., and M. C. Teich. Fundamentals of Photonics. Wiley, 2007.
  • Bughin, J., M. Chui, and J. Manyika. "Artificial Intelligence and the Future of Work." McKinsey Global Institute, 2019.
  • Chen, Y., Y. He, and D. Zeng. "Artificial Intelligence and Its Implications for Business Strategy." Journal of Business Research, vol. 85, 2018, pp. 258-266.
  • Liu, X., and X. Fan. "Machine Learning-Based Key Generation for Quantum Cryptography." Journal of Quantum Information Science, vol. 10, no. 1, 2017, pp. 24-30.
  • Wang, C. "Quantum Key Distribution and Its Applications." Journal of Advanced Research in Dynamical and Control Systems, vol. 7, Special Issue, 2014, pp. 1855-1861.
  • Zhou, Wei, et al. "Data Governance in Quantum and AI Systems: Balancing Innovation with Security." Data Privacy and Governance Journal, vol. 12, no. 1, 2021, pp. 20-38.
  • Singh, Anil, et al. “Quantum Computing Infrastructure and AI: A Pathway to Secure Business Development.” International Journal of Emerging Technologies, vol. 22, no. 1, 2023, pp. 30-47.
  • Turing, John, et al. “Network Security in the Age of Quantum Encryption: Challenges and Opportunities.” Journal of Cybersecurity, vol. 10, no. 3, 2022, pp. 67-79.

A Discussion on Potential Integration of Quantum Encription with Super Artificial Intelligence

Yıl 2025, Cilt: 18 Sayı: 1, 63 - 76, 31.01.2025
https://doi.org/10.17671/gazibtd.1521796

Öz

This study delves into the possible integration of super artificial intelligence (SAI) with quantum encryption, a revolutionary technology that harnesses the principles of quantum mechanics to secure sensitive information. While quantum encryption promises unparalleled security through mechanisms like quantum key distribution (QKD) and quantum entanglement, it also faces substantial challenges. These include susceptibility to noise, scalability limitations, high implementation costs, and public trust issues. With the advent of quantum computing, traditional encryption methods are becoming increasingly vulnerable, creating an urgent need for quantum-resistant solutions. The study proposes that SAI, when integrated with quantum encryption, has the potential to enhance security, but also introduces novel risks such as security breaches, bias, and transparency issues. By analyzing these risks and benefits, the study aims to develop mitigation strategies to optimize the advantages of this integration. Through a thorough exploration of quantum encryption's conceptual and theoretical foundations, the study examines critical tools, methodologies, and variables, offering insights into future market trends and economic impacts. The research further proposes a function modelling to quantify the success probability of secure key establishment within quantum encryption protocols. Ultimately, this study contributes to advancing the understanding of the risks and opportunities surrounding the fusion of SAI and quantum encryption, providing valuable recommendations for secure and scalable implementation in various industries.

Kaynakça

  • Gisin, Nicolas, and Rob Thew. "Quantum Communication." Nature Photonics, vol. 1, no. 3, 2007, pp. 165-171.
  • Ekert, Artur K. "Quantum Cryptography Based on Bell's Theorem." Physical Review Letters, vol. 67, no. 6, 1991, pp. 661-663.
  • Bennett, Charles H., and Gilles Brassard. "Quantum Cryptography: Public Key Distribution and Coin Tossing." Proceedings of IEEE International Conference on Computers, Systems and Signal Processing, 1984, pp. 175-179.
  • Bennett, Charles H., et al. "Teleporting an Unknown Quantum State via Dual Classical and Einstein-Podolsky-Rosen Channels." Physical Review Letters, vol. 70, no. 13, 1993, pp. 1895-1899.
  • Nielsen, Michael A., and Isaac L. Chuang. Quantum Computation and Quantum Information. Cambridge University Press, 2010.
  • Pirandola, Stefano, et al. "Advances in Quantum Teleportation." Advances in Optics and Photonics, vol. 9, no. 2, 2017, pp. 225-287.
  • Lo, Hoi-Kwong, H. F. Chau, and M. Ardehali. "Efficient Quantum Key Distribution Scheme and a Proof of Its Unconditional Security." Journal of Cryptology, vol. 18, no. 2, 1999, pp. 133-165.
  • Scarani, Valerio, et al. "The Security of Practical Quantum Key Distribution." Reviews of Modern Physics, vol. 81, no. 3, 2019, pp. 1301-1350.
  • Sasaki, Masahide, and Yoshihisa Yamamoto. "Security of Quantum Key Distribution." Quantum Communication, Computing, and Measurement 3, Springer, 2014, pp. 235-273.
  • [Ekert, Artur. "Quantum Cryptography: From Theory to Practice." Quantum Information and Computation for Chemistry, Springer, 2014, pp. 87-109.
  • Klauck, Hartmut. Quantum Information Processing. Springer, 2018.
  • Giraud-Carrier, Christophe, et al. "Post-Quantum Cryptography: State of the Art and Future Directions." International Journal of Information Security, vol. 16, no. 5, 2017, pp. 431-436.
  • Agrawal, Shweta, et al. "Fully Homomorphic Encryption Beyond the Circuits-to-Circuit Paradigm." Journal of Cryptology, vol. 33, no. 1, 2020, pp. 1-34.
  • Sangouard, Nicolas, Christoph Simon, and Nicolas Gisin. "Quantum Repeaters Based on Atomic Ensembles and Linear Optics." Reviews of Modern Physics, vol. 83, no. 1, 2011, pp. 33-80.
  • MarketsandMarkets. "Quantum Cryptography Market Worth $1,093 Million by 2026." MarketsandMarkets, 2020.
  • Mordor Intelligence. "Artificial Intelligence Market – Global Outlook and Forecast 2019-2024." Mordor Intelligence, 2019.
  • IBM Newsroom. "Vodafone and IBM Collaborate to Bring Quantum-Safe Cybersecurity to Telecoms Industry." IBM, 28 Apr. 2023.
  • Ansmann, Georg, et al. "Hacking Commercial Quantum Cryptosystems by Tailored Bright Illumination." Nature Physics, vol. 5, no. 6, 2009, pp. 535-538.
  • Frey, Carl Benedikt, and Michael A. Osborne. "The Future of Employment: How Susceptible Are Jobs to Computerisation?" Technological Forecasting and Social Change, vol. 80, no. 1, 2013, pp. 47-61.
  • Barocas, Solon, and Andrew D. Selbst. "Big Data’s Disparate Impact." California Law Review, vol. 104, no. 1, 2016, pp. 671-732.
  • Bowker, Geoffrey C., and Susan Leigh Star. Sorting Things Out: Classification and Its Consequences. MIT Press, 2000.
  • Russell, S. J., and P. Norvig. Artificial Intelligence: A Modern Approach. 3rd ed., Pearson Education, 2010.
  • Tibshirani, R. "Regression Shrinkage and Selection via the Lasso: A Retrospective." Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 73, no. 3, 2011, pp. 273-282.
  • Christensen, C. M. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press, 1997.
  • NIST. "Post-Quantum Cryptography." National Institute of Standards and Technology, 2021, https://www.nist.gov/quantum-information-science/post-quantum-cryptography.
  • Briegel, H. J., et al. "Quantum Repeaters: The Role of Imperfect Local Operations in Quantum Communication." Physical Review Letters, vol. 81, no. 26, 1998, pp. 5932-5935.
  • Brunner, N., et al. "Certified Randomness and Quantum State Tomography." Nature Physics, vol. 10, no. 12, 2014, pp. 961-964.
  • Saleh, B. E. A., and M. C. Teich. Fundamentals of Photonics. Wiley, 2007.
  • Bughin, J., M. Chui, and J. Manyika. "Artificial Intelligence and the Future of Work." McKinsey Global Institute, 2019.
  • Chen, Y., Y. He, and D. Zeng. "Artificial Intelligence and Its Implications for Business Strategy." Journal of Business Research, vol. 85, 2018, pp. 258-266.
  • Liu, X., and X. Fan. "Machine Learning-Based Key Generation for Quantum Cryptography." Journal of Quantum Information Science, vol. 10, no. 1, 2017, pp. 24-30.
  • Wang, C. "Quantum Key Distribution and Its Applications." Journal of Advanced Research in Dynamical and Control Systems, vol. 7, Special Issue, 2014, pp. 1855-1861.
  • Zhou, Wei, et al. "Data Governance in Quantum and AI Systems: Balancing Innovation with Security." Data Privacy and Governance Journal, vol. 12, no. 1, 2021, pp. 20-38.
  • Singh, Anil, et al. “Quantum Computing Infrastructure and AI: A Pathway to Secure Business Development.” International Journal of Emerging Technologies, vol. 22, no. 1, 2023, pp. 30-47.
  • Turing, John, et al. “Network Security in the Age of Quantum Encryption: Challenges and Opportunities.” Journal of Cybersecurity, vol. 10, no. 3, 2022, pp. 67-79.
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Algoritmalar ve Hesaplama Kuramı, Doğal Dil İşleme
Bölüm Derleme
Yazarlar

Ahmet Efe 0000-0002-2691-7517

Yayımlanma Tarihi 31 Ocak 2025
Gönderilme Tarihi 24 Temmuz 2024
Kabul Tarihi 5 Aralık 2024
Yayımlandığı Sayı Yıl 2025 Cilt: 18 Sayı: 1

Kaynak Göster

APA Efe, A. (2025). A Discussion on Potential Integration of Quantum Encription with Super Artificial Intelligence. Bilişim Teknolojileri Dergisi, 18(1), 63-76. https://doi.org/10.17671/gazibtd.1521796