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Enhancement of spin coherence using Q-factor engineering in semiconductor microdisc lasers.
S Ghosh1, W H Wang, F M Mendoza
1Center for Spintronics and Quantum Computation, University of California, Santa Barbara, California 93106, USA.
Nature Materials
|March 28, 2006
Summary
We studied electron spin dynamics in GaAs microdisc lasers. Optical resonance with high-quality laser modes enhanced spin-coherence time, opening new avenues for spin-dependent quantum optoelectronics.
Area of Science:
- Optoelectronics
- Quantum Information Science
- Materials Science
Background:
- Semiconductor microcavities enable control over light-matter interactions for applications in optical communications and quantum technologies.
- Electron spin dynamics in microcavities is an emerging research area with observed phenomena like polarization beats and giant Faraday rotation.
Purpose of the Study:
- To investigate electron spin dynamics in optically pumped GaAs microdisc lasers.
- To understand how stimulated emission influences electron spin dynamics.
- To explore the enhancement of spin-coherence time through resonant optical excitation.
Main Methods:
- Utilized optically pumped GaAs microdisc lasers with quantum wells and quantum dots.
- Examined electron spin dynamics under varying optical excitation conditions.
- Investigated the effect of cavity design and dimensions on spin dynamics.
Main Results:
- Observed an enhancement of electron spin-coherence time when optical excitation was resonant with a high-quality (Q ≈ 5,000) lasing mode.
- Demonstrated that this resonant enhancement is contrary to the trend in carrier-recombination time.
- Showed that the spin-coherence enhancement can be manipulated by altering cavity design and dimensions.
Conclusions:
- Coherent interactions between electron spins and photons can be engineered in semiconductor microcavities.
- This engineered coherence may lead to novel spin-dependent quantum optoelectronic devices.
- The findings offer new pathways for developing advanced quantum information processing and computational schemes.