منابع مشابه
Quantum Neurocomputation and Signal Processing
In this paper we consider a Quantum computational algorithm that can be used to determine (probabilistically) how close a given signal is to one of a set of previously observed signal stored in the state of a quantum neurocomputional machine. The realization of a new quantum algorithm for factorization of integers by Shor and its implication to cryptography has created a rapidly growing field o...
متن کاملOptimal Hamiltonian Simulation by Quantum Signal Processing.
The physics of quantum mechanics is the inspiration for, and underlies, quantum computation. As such, one expects physical intuition to be highly influential in the understanding and design of many quantum algorithms, particularly simulation of physical systems. Surprisingly, this has been challenging, with current Hamiltonian simulation algorithms remaining abstract and often the result of sop...
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In quantum gray-scale image processing, the storage in quantum states is the color information and the position information According to the advantage of small range of the gray scale in a gray-scale image, a novel storage expression of quantum gray-scale image is proposed and demonstrated in this study. Besides, a new concept of "quantum pointer" is put forward based on the expression. Quantum...
متن کاملQuantum-Dot cells and their suitability for nonlinear signal processing
Electronics is more or less analog in nature, this applies to both the analog and digital circuits. Several transistors and other parts are needed for a single digital gate. However, this could change in the future. The concept of quantum computation has gained attention during the recent years, different architectures such as quantum-dot cellular autom-ata (QCA) [7] have been proposed. Unlike ...
متن کاملP81: Detection of Epileptic Seizures Using EEG Signal Processing
Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Magazine
سال: 2002
ISSN: 1053-5888
DOI: 10.1109/msp.2002.1043298