J
Justin Norman
Researcher at University of California, Santa Barbara
Publications - 163
Citations - 3921
Justin Norman is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Quantum dot laser & Quantum dot. The author has an hindex of 29, co-authored 154 publications receiving 2783 citations. Previous affiliations of Justin Norman include University of Arkansas.
Papers
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Journal ArticleDOI
High performance continuous wave 1.3 μm quantum dot lasers on silicon
Alan Y. Liu,Chong Zhang,Justin Norman,Andrew Snyder,Dmitri Lubyshev,Joel M. Fastenau,Amy W. K. Liu,Arthur C. Gossard,John E. Bowers +8 more
TL;DR: In this article, a Ridge waveguide laser with P-modulation doping of active region improves T0 to the range of 100-200 K while maintaining low thresholds and high output powers.
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Perspective: The future of quantum dot photonic integrated circuits
TL;DR: In this paper, quantum dot active layers for lasers and amplifiers on and off Si have been demonstrated, and results for quantum dot based photodetectors and modulators look promising.
Journal ArticleDOI
Observation of the Unconventional Photon Blockade.
H.J. Snijders,J. A. Frey,Justin Norman,Hugo Flayac,Vincenzo Savona,Arthur C. Gossard,John E. Bowers,M. P. van Exter,Dirk Bouwmeester,Dirk Bouwmeester,Wolfgang Löffler +10 more
TL;DR: The unconventional photon blockade effect in quantum dot cavity QED is observed, which, in contrast to the conventional photon blockade, operates in the weak coupling regime.
Journal ArticleDOI
Quantum dot lasers for silicon photonics [Invited]
TL;DR: In this paper, the authors review recent advances in the field of quantum dot lasers on silicon and present a summary of device performance, reliability, and comparison with similar quantum well lasers grown on silicon.
Journal ArticleDOI
A Review of High-Performance Quantum Dot Lasers on Silicon
Justin Norman,Daehwan Jung,Zeyu Zhang,Yating Wan,Songtao Liu,Chen Shang,Robert W. Herrick,Weng W. Chow,Arthur C. Gossard,John E. Bowers +9 more
TL;DR: In this article, the authors used quantum dots for photonic integration and achieved state-of-the-art performance and gain recovery at sub-picosecond timescales.