Technological innovation with millimeter waves (mm waves), signals having carrier frequencies between 30 and 300 GHz, has become an increasingly important research field. While it is challenging to generate and distribute these high frequency signals using all-electronic means, photonic techniques that transfer the signals to the optical domain for processing can alleviate several of the issues that plague electronic components. By realizing optical signal processing in a photonic integrated circuit (PIC), one can considerably improve the performance, footprint, cost, weight, and energy efficiency of photonics-based mm-wave technologies. In this article, we detail the applications that rely on mm-wave generation and review the requirements for photonics-based technologies to achieve this functionality. We give an overview of the different PIC platforms, with a particular focus on hybrid silicon photonics, and detail how the performance of two key components in the generation of mm waves, photodetectors and modulators, can be optimized in these platforms. Finally, we discuss the potential of hybrid silicon photonics for extending mm-wave generation towards the THz domain and provide an outlook on whether these mm-wave applications will be a new milestone in the evolution of hybrid silicon photonics.
We present the design of a supporting photonic crystal structure that would allow for the excitation of the predicted transverse electric (TE) polarized excitation in a single layer of graphene. We show that it is possible to measure this excitation at room temperature, and that adding an extra layer of dielectric material on top of the structure would further facilitate the experimental observation of the graphene mode.
We propose a novel semi-analytic design strategy for dielectric one-dimensional multilayer biosensors that is based on a relation between the angular sensitivity and the optical power flow of the Bloch surface wave guided by the multilayer. We show that our strategy can be used to optimize both the sensor's sensitivity and figure-of-merit without the need for extensive numerical parameter sweeps.
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