12,499 research outputs found
A Hybrid Quantum Encoding Algorithm of Vector Quantization for Image Compression
Many classical encoding algorithms of Vector Quantization (VQ) of image
compression that can obtain global optimal solution have computational
complexity O(N). A pure quantum VQ encoding algorithm with probability of
success near 100% has been proposed, that performs operations 45sqrt(N) times
approximately. In this paper, a hybrid quantum VQ encoding algorithm between
classical method and quantum algorithm is presented. The number of its
operations is less than sqrt(N) for most images, and it is more efficient than
the pure quantum algorithm.
Key Words: Vector Quantization, Grover's Algorithm, Image Compression,
Quantum AlgorithmComment: Modify on June 21. 10pages, 3 figure
Three particle quantization condition in a finite volume: 2. general formalism and the analysis of data
We derive the three-body quantization condition in a finite volume using an
effective field theory in the particle-dimer picture. Moreover, we consider the
extraction of physical observables from the lattice spectrum using the
quantization condition. To illustrate the general framework, we calculate the
volume-dependent three-particle spectrum in a simple model both below and above
the three-particle threshold. The relation to existing approaches is discussed
in detail.Comment: 36 pages, 9 figure
Electrolysis-based diaphragm actuators
This work presents a new electrolysis-based microelectromechanical systems (MEMS) diaphragm actuator. Electrolysis is a technique for converting electrical energy to pneumatic energy. Theoretically electrolysis can achieve a strain of 136 000% and is capable of generating a pressure above 200 MPa. Electrolysis actuators require modest electrical power and produce minimal heat. Due to the large volume expansion obtained via electrolysis, small actuators can create a large force. Up to 100 µm of movement was achieved by a 3 mm diaphragm. The actuator operates at room temperature and has a latching and reversing capability
Integrated parylene-cabled silicon probes for neural prosthetics
Recent advances in the field of neural prosthetics have demonstrated the thought control of a computer cursor. This capability relies primarily on electrode array surgically implanted into the brain as an acquisition source of neural activity. Various technologies have been developed for signal extraction; however most suffer from either fragile electrode shanks and bulky cables or inefficient use of surgical site areas. Here we present a design and initial testing results from high electrode density, silicon based arrays system with an integrated parylene cable. The greatly reduced flexible rigidity of the parylene cable is believed to relief possible mechanical damages due to relative motion between a brain and its skull
phi3 theory with F_4 flavor symmetry in 6-2\epsilon dimensions: 3-loop renormalization and conformal bootstrap
We consider theory in with global symmetry. The beta function is calculated up to 3 loops, and a stable unitary IR fixed point is observed. The anomalous dimensions of operators quadratic or cubic in are also computed. We then employ conformal bootstrap technique to study the fixed point predicted from the perturbative approach. For each putative scaling dimension of (, we obtain the corresponding upper bound on the scaling dimension of the second lowest scalar primary in the representation which appears in the OPE of . In , we observe a sharp peak on the upper bound curve located at equal to the value predicted by the 3-loop computation. In , we observe a weak kink on the upper bound curve at =
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