Subdiffraction limit nanophotonic waveguides by quantum dot array structure: modeling and simulation

Chia-Jean Wang; Lih-Yuan Lin

doi:10.1117/12.571496

29 December 2004 Subdiffraction limit nanophotonic waveguides by quantum dot array structure: modeling and simulation

Chia-Jean Wang, Lih-Yuan Lin

Proceedings Volume 5593, Nanosensing: Materials and Devices; (2004) https://doi.org/10.1117/12.571496
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

Abstract

Building photonic integrated circuits, which overcome the quantum limitation of the uncertainty principle, requires a new paradigm for optical waveguide design that is fundamentally different from the conventional approach. With recent advances in creating nanomaterials, quantum dots made of semiconductor compounds have enabled manipulation of electron and photon interaction in the presence of optical or electrical stimulus. In this paper, we explore the frontier of using quantum dots in new waveguide structures to pave the way for devices whose dimensions are below the diffraction limit of light. These components handle signals in the optical domain, and exploit the high-speed and transparency advantages of light. We first calculate the gain spectrum for pulsed optically-pumped quantum dots and derive the gain coefficient for waveguides. Then, a new model for a quantum dot waveguide is presented and optimum waveguide structure for propagation is determined. The results for two material systems, CdSe and CdTe quantum dots operating in free space, are given throughout. The model may be applied and extended to other compounds and establishes a foundation for quantum dot nano-scale photonic integrated circuits. By utilizing the non-linear properties of quantum dots, the proposed device forms a basis for applications in sensing, computing, and signal processing.

Citation Download Citation

Chia-Jean Wang and Lih-Yuan Lin "Subdiffraction limit nanophotonic waveguides by quantum dot array structure: modeling and simulation", Proc. SPIE 5593, Nanosensing: Materials and Devices, (29 December 2004); https://doi.org/10.1117/12.571496

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