☆ 4.6 Article

Plasmonic nanoantennas for efficient control of polarization-entangled photon pairs

PHYSICAL REVIEW A (2012)

Journal

PHYSICAL REVIEW A

Volume 86, Issue 1, Pages -

Publisher

AMER PHYSICAL SOC

DOI: 10.1103/PhysRevA.86.011801

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Categories

Optics Physics, Atomic, Molecular & Chemical

Funding

Australian Research Council

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Abstract

We suggest a source of polarization-entangled photon pairs based on a cross-shaped plasmonic nanoantenna driven by a single quantum dot. The integration of the nanoantenna with a metal mirror overcomes the fundamental tradeoff between the spontaneous emission (SE) enhancement and the extraction efficiency typical of microcavity- and nanowire-based architectures. With a very high extraction efficiency of entangled photons (approximate to 90%) at 1.55 mu m and large SE enhancement (approximate to 90) over a broad 330-nm spectral range, the proposed design will pave the way toward reliable integrated sources of nonclassical light.

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Nonlinear periodic and solitary rolling waves in falling two-layer viscous liquid films

Andrey Pototsky, Ivan S. Maksymov

Summary: We investigate the behavior of nonlinear periodic and solitary two-dimensional rolling waves in a falling two-layer liquid film with nonzero Reynolds numbers. We find that the film is linearly unstable and supports neutral stable waves in the form of zigzag surface modes and thinning varicose interface modes. By reducing the Navier-Stokes equation, we study the onset, bifurcations, and interactions of nonlinear periodic traveling waves. Solitary waves with droplets and depressions are observed, and their characteristics are derived from homoclinic loops. The dynamics of wave interactions are discovered to be influenced by coarsening and competition between different types of waves, leading to the formation of a quintessentially two-layer dynamical regime with a ruptured second layer.

PHYSICAL REVIEW FLUIDS (2023)

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Review Energy & Fuels

Analogue and Physical Reservoir Computing Using Water Waves: Applications in Power Engineering and Beyond

Ivan S. S. Maksymov

Summary: This article reviews the recent advances in analogue and reservoir computing driven by the properties and energy of water waves. It suggests that these research areas have the potential to bring artificial intelligence closer to rural areas, allowing them to benefit from novel technologies that are already present in large cities. The physical reservoir computing systems discussed in the article can be used for designing and optimizing power grid networks and forecasting energy consumption at local and global scales. Therefore, this review article is of significant importance for readers interested in the innovative practical applications of artificial intelligence and machine learning.

ENERGIES (2023)

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