22,712 research outputs found
The optical selection rules of a graphene quantum dot in external electric fields
We study theoretically the single-electron triangular zigzag graphene quantum
dot in three typical in-plane electric fields. The far-infrared absorption
spectra of the dot are calculated by the tight-binding method and then the
optical selection rules are identified by contrast with the corresponding
energy spectra. Our result shows that there exist the remarkable optical
selection rules due to the C3 symmetry of the dot. When the electric field
possesses also the C3 symmetry, there are only two absorption peaks in the
absorption spectra. As the C3 symmetry of the system is damaged by the electric
fields, both the intensity of the strongest peak and the number of the
forbidden transitions decrease gradually. Moreover, the polarization causes the
decrease of the peak intensities and even new forbidden transitions. Our
findings may be useful for the application of graphene quantum dots to
electronic and optoelectronic devices
Neural network-based arithmetic coding of intra prediction modes in HEVC
In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC) is
adopted as the entropy coding method. CABAC relies on manually designed
binarization processes as well as handcrafted context models, which may
restrict the compression efficiency. In this paper, we propose an arithmetic
coding strategy by training neural networks, and make preliminary studies on
coding of the intra prediction modes in HEVC. Instead of binarization, we
propose to directly estimate the probability distribution of the 35 intra
prediction modes with the adoption of a multi-level arithmetic codec. Instead
of handcrafted context models, we utilize convolutional neural network (CNN) to
perform the probability estimation. Simulation results show that our proposed
arithmetic coding leads to as high as 9.9% bits saving compared with CABAC.Comment: VCIP 201
Second Quantization and the Spectral Action
We consider both the bosonic and fermionic second quantization of spectral
triples in the presence of a chemical potential. We show that the von Neumann
entropy and the average energy of the Gibbs state defined by the bosonic and
fermionic grand partition function can be expressed as spectral actions. It
turns out that all spectral action coefficients can be given in terms of the
modified Bessel functions. In the fermionic case, we show that the spectral
coefficients for the von Neumann entropy, in the limit when the chemical
potential approaches can be expressed in terms of the Riemann zeta
function. This recovers a result of Chamseddine-Connes-van Suijlekom.Comment: Author list is expanded. The calculations in the new version are
extended to two more Hamiltonians. New references adde
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