期刊
IEEE JOURNAL OF QUANTUM ELECTRONICS
卷 59, 期 5, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JQE.2023.3296732
关键词
Ultrafast spin-lasers; quantum-dot spin-VCSEL; polarization modulation; polarization dynamics
This study theoretically investigates the operation of Quantum-Dot (QD) spin-VCSELs with polarization modulation for their use as ultrafast light sources in optical communication systems. It is found that QD spin-VCSELs outperform their Quantum-Well (QW) counterparts in terms of modulation efficiency, yielding a nearly two-fold improvement. In addition, QD spin-VCSELs enable operation in dual emission, offering exciting routes for multiplexing of information in computing and processing applications.
Spin-Vertical Cavity Surface Emitting Lasers (spin-VCSELs) are undergoing increasing research effort for new paradigms in high-speed optical communications and photon-enabled computing. To date research in spin-VCSELs has mostly focused on Quantum-Well (QW) devices. However, novel Quantum-Dot (QD) spin-VCSELs, offer enhanced parameter controls permitting the effective, dynamical and ultrafast manip-ulation of their light emission's polarization. In the present contribution we investigate theoretically in detail the operation of QD spin-VCSELs subject to polarization modulation for their use as ultrafast light sources in optical communication systems. We reveal that QD spin-VCSELs outperform their QW counterparts in terms of modulation efficiency, yielding a nearly two-fold improvement. We also analyse the impact of key device parameters in QD spin-VCSELs (e.g. photon decay rate and intra-dot relaxation rate) on the large signal modulation perfor-mance with regard to simulated optical modulation amplitude and eye-diagram opening penalty. We show that in addition to exhibiting enhanced polarization modulation performance for data rates up to 250Gb/s, QD spin-VCSELs enable operation in dual (ground and excited state) emission thus allowing future exciting routes for multiplexing of information in computing and processing applications.
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