17,786 research outputs found
Transplanckian Dispersion Relation and Entanglement Entropy of Blackhole
The quantum correction to the entanglement entropy of the event horizon is
plagued by the UV divergence due to the infinitely blue-shifted near horizon
modes. The resolution of this UV divergence provides an excellent window to a
better understanding and control of the quantum gravity effects. We claim that
the key to resolve this UV puzzle is the transplanckian dispersion relation. We
calculate the entanglement entropy using a very general type of transplanckian
dispersion relation such that high energy modes above a certain scale are
cutoff, and show that the entropy is rendered UV finite. We argue that modified
dispersion relation is a generic feature of string theory, and this boundedness
nature of the dispersion relation is a general consequence of the existence of
a minimal distance in string theory.Comment: 7 pages. To appear in the proceedings of 36th International Symposium
Ahrenshoop on the theory of Elementary Particles: Recent Developments in
String/M Theory and Field Theory, Berlin, Germany, 26-30 Aug 200
Neural Feedback Scheduling of Real-Time Control Tasks
Many embedded real-time control systems suffer from resource constraints and
dynamic workload variations. Although optimal feedback scheduling schemes are
in principle capable of maximizing the overall control performance of
multitasking control systems, most of them induce excessively large
computational overheads associated with the mathematical optimization routines
involved and hence are not directly applicable to practical systems. To
optimize the overall control performance while minimizing the overhead of
feedback scheduling, this paper proposes an efficient feedback scheduling
scheme based on feedforward neural networks. Using the optimal solutions
obtained offline by mathematical optimization methods, a back-propagation (BP)
neural network is designed to adapt online the sampling periods of concurrent
control tasks with respect to changes in computing resource availability.
Numerical simulation results show that the proposed scheme can reduce the
computational overhead significantly while delivering almost the same overall
control performance as compared to optimal feedback scheduling.Comment: To appear in International Journal of Innovative Computing,
Information and Contro
Electric field modulation of topological order in thin film semiconductors
We propose a method that can consecutively modulate the topological orders or
the number of helical edge states in ultrathin film semiconductors without a
magnetic field. By applying a staggered periodic potential, the system
undergoes a transition from a topological trivial insulating state into a
non-trivial one with helical edge states emerging in the band gap. Further
study demonstrates that the number of helical edge state can be modulated by
the amplitude and the geometry of the electric potential in a step-wise
fashion, which is analogous to tuning the integer quantum Hall conductance by a
megntic field. We address the feasibility of experimental measurement of this
topological transition.Comment: 4 pages, 4 figure
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