International Journal of Research and Innovation in Applied Science (IJRIAS)
The Study of Custom Methods and Document Estimates for Quantum State Estimation
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
| Journal | International Journal of Research and Innovation in Applied Science (IJRIAS) |
|---|---|
| ISSN | 2454-6194 |
| Volume / Issue | Volume 10, Issue 11 |
| Pages | 128–136 |
| Publication date | December 3, 2025 |
| DOI | 10.51584/IJRIAS.2025.101100013 |
| Publisher | RSIS International |
| License | Open 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}
}