Dynamic performance and reflection sensitivity of quantum dot distributed feedback lasers with large optical mismatch

Bozhang Dong; Jianan Duan; Heming Huang; Justin C. Norman; Kenichi Nishi; Keizo Takemasa; Mitsuru Sugawara; John E. Bowers; Frédéric Grillot

doi:10.1364/PRJ.421285

Journals >Photonics Research >Volume 9 >Issue 8 >Page 1550 > Article

Photonics Research
Vol. 9, Issue 8, 1550 (2021)

Dynamic performance and reflection sensitivity of quantum dot distributed feedback lasers with large optical mismatch

Bozhang Dong^1、*, Jianan Duan^1、7, Heming Huang¹, Justin C. Norman^2、3, Kenichi Nishi⁴, Keizo Takemasa⁴, Mitsuru Sugawara⁴, John E. Bowers^2、3、5, and Frédéric Grillot^1、6

Author Affiliations

¹LTCI, Télécom Paris, Institut Polytechnique de Paris, 19 Place Marguerite Perey, 91120 Palaiseau, France

²Institute for Energy Efficiency, University of California, Santa Barbara, California 93106, USA

³Materials Department, University of California, Santa Barbara, California 93106, USA

⁴QD Laser, Inc., Kawasaki, Kanagawa 210-0855, Japan

⁵Department of Electrical and Computer Engineering, University of California, Santa Barbara, California 93106, USA

⁶Center for High Technology Materials, University of New-Mexico, Albuquerque, New Mexico 87106, USA

⁷Current address: State Key Laboratory on Tunable Laser Technology, School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen 518055, China

show less

DOI: 10.1364/PRJ.421285 Cite this Article Set citation alerts

Bozhang Dong, Jianan Duan, Heming Huang, Justin C. Norman, Kenichi Nishi, Keizo Takemasa, Mitsuru Sugawara, John E. Bowers, Frédéric Grillot. Dynamic performance and reflection sensitivity of quantum dot distributed feedback lasers with large optical mismatch[J]. Photonics Research, 2021, 9(8): 1550 Copy Citation Text

EndNote(RIS)

BibTex

Plain Text

show less

Cited By

Article index updated: Mar. 8, 2024

Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.