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International Journal of Research and Innovation in Applied Science (IJRIAS)

The Study of Custom Methods and Document Estimates for Quantum State Estimation

byJagadish Godara; Vipin Kumar

Published December 3, 2025  •  Vol. 10, Issue 11, pp. 128–136Open Access
DOI: 10.51584/IJRIAS.2025.101100013

Abstract

Quantum state estimation is essential for quantum communication and computing. This study applies maximum likelihood estimation, Bayesian inference, and document-based pattern matching. The hybrid framework enhances accuracy, reduces redundancy, and accelerates classification. Two- and three-qubit noisy systems were analyzed for validation. Results showed higher fidelity and lower estimation errors with Bayesian methods. Spin-gap comparisons confirmed statistical reliability and physical relevance of the approach. The framework supports NISQ devices and hybrid quantum-classical platforms. Future work will explore hardware testing, larger qubit arrays, and machine learning integration.

Keywords: Bayesian inference, maximum likelihood

JournalInternational Journal of Research and Innovation in Applied Science (IJRIAS)
ISSN2454-6194
Volume / IssueVolume 10, Issue 11
Pages128–136
Publication dateDecember 3, 2025
DOI10.51584/IJRIAS.2025.101100013
PublisherRSIS International
LicenseOpen Access

How to cite this article

Jagadish Godara, & Vipin Kumar (2025). The Study of Custom Methods and Document Estimates for Quantum State Estimation. International Journal of Research and Innovation in Applied Science (IJRIAS), 10(11), 128-136. https://doi.org/10.51584/IJRIAS.2025.101100013

BibTeX

@article{Jagadish2025,
  title   = {The Study of Custom Methods and Document Estimates for Quantum State Estimation},
  author  = {Jagadish Godara and Vipin Kumar},
  journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
  volume  = {10},
  number  = {11},
  pages   = {128--136},
  year    = {2025},
  doi     = {10.51584/IJRIAS.2025.101100013},
  publisher = {RSIS International}
}