Bibliographic Details
| Title: |
Enhancing entangled photon pair propagation through apodized bragg grating with advanced dispersion management. |
| Authors: |
Armaghani, S.1 (AUTHOR) s.armaghani@tabrizu.ac.ir, Rostami, A.1,2 (AUTHOR) rostami@tabrizu.ac.ir |
| Source: |
Applied Physics B: Lasers & Optics. Aug2025, Vol. 131 Issue 8, p1-10. 10p. |
| Subjects: |
Quantum optics, Apodization, Quantum entanglement, Photonics, Quantum information science, Bragg gratings, Photon correlation |
| Abstract: |
Quantum optical integrated circuits are revolutionizing quantum information processing by utilizing integrated photonics technology to create complex optical circuits on a single chip. Historically, these circuits encountered various challenges in quantum applications, but recent advancements have enabled them to meet the rigorous demands of both research and industry. A key area of exploration is the establishment and maintenance of quantum properties within photonic substrates. Bragg grating structures, essential for many optical applications, are anticipated to significantly contribute to the development of integrated circuits. However, they face a challenge with dispersion, which can threaten the integrity of quantum states. When entangled photons pass through a waveguide, their correlation function tends to broaden due to this dispersion. To address this issue, the study emphasizes the importance of apodizing the grating structure, as this can help reduce the broadening of the correlation function, provided that the apodization function's standard deviation can adapt to variations in the refractive index. The proposal of apodized waveguide gratings aims to enhance the correlation of biphotons, offering a promising strategy for advancing the field. [ABSTRACT FROM AUTHOR] |
|
Copyright of Applied Physics B: Lasers & Optics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |