Angular distribution of emission from hyperbolic metamaterials
L. Gu et al., “Angular distribution of emission from hyperbolic metamaterials”, Scientific Reports, vol. 4, no. 7327, 2014.
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Hyperbolic Phonon-Polaritons
Z. Jacob, “Hyperbolic Phonon-Polaritons”, Nature Materials, vol. 13, pp. 1081–1083 , 2014.
Ferrell–Berreman Modes in Plasmonic Epsilon-near-Zero Media
W. D. Newman, C. L. Cortes, J. Atkinson, S. Pramanik, R. G. DeCorby, and Z. Jacob, “Ferrell–Berreman Modes in Plasmonic Epsilon-near-Zero Media”, ACS Photonics, vol. 2, no. 1, pp. 2–7, 2014.
Ideal near-field thermophotovoltaic cells
S. Molesky and Z. Jacob, “Ideal near-field thermophotovoltaic cells”, PHYSICAL REVIEW B, vol. 91, no. 20, 2015.
Preferential emission into epsilon-near-zero metamaterial
T. Galfsky, Z. Sun, Z. Jacob, and V. M. Menon, “Preferential emission into epsilon-near-zero metamaterial”, Optical Materials Express, vol. 5, no. 12, pp. 2878–2883, 2015.
Enhancement of rotational vacuum friction by surface photon tunneling
Z. Xu, Z. Jacob, and T. Li, “Enhancement of rotational vacuum friction by surface photon tunneling”, Nanophotonics, vol. 10, no. 1, pp. 537–543, 2020.
Three papers in NeurIPS 2021
There is a long way to go before quantum information (QI) can have a real-world impact on machine learning applications. However, in the short term, QI presents a principled approach to unravel performance bounds and find hidden quantum-classical parallels for widely used machine learning algorithms...
Tensor Rings for Learning Circular Hidden Markov Models
Congratulations to Mohammad Ali Javidian on the selection of his paper titled “Tensor Rings for Learning Circular Hidden Markov Models” which was virtually presented at the second Workshop on Quantum Tensor Networks in Machine Learning.