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Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds

Year 2025, Volume: 10 Issue: 3, 151 - 156, 30.12.2025
https://doi.org/10.30931/jetas.1781505
https://izlik.org/JA72EZ35GP

Abstract

Reliable data transmission is a key challenge in quantum communication due to the inherent fragility of qubits and the probabilistic nature of quantum operations. In this study, we address this challenge by proposing a method tailored to environments where the quantum error rate is known in advance. Rather than relying on classical error correction strategies directly adapted to quantum systems, our approach introduces a mechanism that determines the optimal number of redundant transmissions based on a predefined threshold for success. By calculating how many times a qubit must be sent to achieve a desired probability of correctness, we offer a practical solution that can be used in scenarios with constrained quantum resources or in noisy quantum networks. The method focuses on improving reliability without the need for complex entanglement or syndromes, which may not be feasible in all experimental settings. Results show that this probabilistic redundancy model allows for an adjustable balance between communication cost and transmission success, offering flexibility based on system requirements. The approach is especially useful in early-stage quantum communication platforms where hardware limitations restrict the use of more advanced quantum error correction techniques.

References

  • [1] Nielsen, M.A., Chuang, I.L., “Quantum Computation and Quantum Information”, Cambridge University Press (2010).
  • [2] Bernhardt, C., “Quantum Computing for Everyone”, MIT Press (2020).
  • [3] Ramachandran, K.M., Tsokos, C.P., “Mathematical Statistics with Applications in R”, 3rd ed., Elsevier (2021) : 253–300.
  • [4] Wackerly, D., Mendenhall, W., Scheaffer, R.L., “Mathematical Statistics with Applications”, 6th ed., Duxbury Press (2007) : 460–491.
  • [5] Casella, G., Berger, R.L., “Statistical Inference”, 2nd ed., Duxbury (2002).
  • [6] Clopper, C.J., Pearson, E.S., “The Use of Confidence or Fiducial Limits Illustrated in the Case of the Binomial”, Biometrika 26(4) (1934) : 404–413.
  • [7] Agresti, A., Coull, B.A., “Approximate is Better than ‘Exact’ for Interval Estimation of Binomial Proportions”, The American Statistician 52(2) (1998) : 119–126.

Önceden Belirlenmiş Hata Oranlarına ve İstatistiksel Sınırlara Dayalı Kuantum Hata Tespiti

Year 2025, Volume: 10 Issue: 3, 151 - 156, 30.12.2025
https://doi.org/10.30931/jetas.1781505
https://izlik.org/JA72EZ35GP

Abstract

Reliable data transmission is a key challenge in quantum communication due to the inherent fragility of qubits and the probabilistic nature of quantum operations. In this study, we address this challenge by proposing a method tailored to environments where the quantum error rate is known in advance. Rather than relying on classical error correction strategies directly adapted to quantum systems, our approach introduces a mechanism that determines the optimal number of redundant transmissions based on a predefined threshold for success. By calculating how many times a qubit must be sent to achieve a desired probability of correctness, we offer a practical solution that can be used in scenarios with constrained quantum resources or in noisy quantum networks. The method focuses on improving reliability without the need for complex entanglement or syndromes, which may not be feasible in all experimental settings. Results show that this probabilistic redundancy model allows for an adjustable balance between communication cost and transmission success, offering flexibility based on system requirements. The approach is especially useful in early-stage quantum communication platforms where hardware limitations restrict the use of more advanced quantum error correction techniques.

References

  • [1] Nielsen, M.A., Chuang, I.L., “Quantum Computation and Quantum Information”, Cambridge University Press (2010).
  • [2] Bernhardt, C., “Quantum Computing for Everyone”, MIT Press (2020).
  • [3] Ramachandran, K.M., Tsokos, C.P., “Mathematical Statistics with Applications in R”, 3rd ed., Elsevier (2021) : 253–300.
  • [4] Wackerly, D., Mendenhall, W., Scheaffer, R.L., “Mathematical Statistics with Applications”, 6th ed., Duxbury Press (2007) : 460–491.
  • [5] Casella, G., Berger, R.L., “Statistical Inference”, 2nd ed., Duxbury (2002).
  • [6] Clopper, C.J., Pearson, E.S., “The Use of Confidence or Fiducial Limits Illustrated in the Case of the Binomial”, Biometrika 26(4) (1934) : 404–413.
  • [7] Agresti, A., Coull, B.A., “Approximate is Better than ‘Exact’ for Interval Estimation of Binomial Proportions”, The American Statistician 52(2) (1998) : 119–126.
There are 7 citations in total.

Details

Primary Language English
Subjects Coding, Information Theory and Compression, Information Security and Cryptology, Quantum Engineering Systems (Incl. Computing and Communications)
Journal Section Research Article
Authors

Buğrahan Karahan 0009-0009-4958-336X

Enver Özdemir

Submission Date September 10, 2025
Acceptance Date December 18, 2025
Publication Date December 30, 2025
DOI https://doi.org/10.30931/jetas.1781505
IZ https://izlik.org/JA72EZ35GP
Published in Issue Year 2025 Volume: 10 Issue: 3

Cite

APA Karahan, B., & Özdemir, E. (2025). Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds. Journal of Engineering Technology and Applied Sciences, 10(3), 151-156. https://doi.org/10.30931/jetas.1781505
AMA 1.Karahan B, Özdemir E. Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds. JETAS. 2025;10(3):151-156. doi:10.30931/jetas.1781505
Chicago Karahan, Buğrahan, and Enver Özdemir. 2025. “Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds”. Journal of Engineering Technology and Applied Sciences 10 (3): 151-56. https://doi.org/10.30931/jetas.1781505.
EndNote Karahan B, Özdemir E (December 1, 2025) Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds. Journal of Engineering Technology and Applied Sciences 10 3 151–156.
IEEE [1]B. Karahan and E. Özdemir, “Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds”, JETAS, vol. 10, no. 3, pp. 151–156, Dec. 2025, doi: 10.30931/jetas.1781505.
ISNAD Karahan, Buğrahan - Özdemir, Enver. “Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds”. Journal of Engineering Technology and Applied Sciences 10/3 (December 1, 2025): 151-156. https://doi.org/10.30931/jetas.1781505.
JAMA 1.Karahan B, Özdemir E. Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds. JETAS. 2025;10:151–156.
MLA Karahan, Buğrahan, and Enver Özdemir. “Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds”. Journal of Engineering Technology and Applied Sciences, vol. 10, no. 3, Dec. 2025, pp. 151-6, doi:10.30931/jetas.1781505.
Vancouver 1.Buğrahan Karahan, Enver Özdemir. Quantum Error Detection Based on Predefined Error Rates and Statistical Bounds. JETAS. 2025 Dec. 1;10(3):151-6. doi:10.30931/jetas.1781505