SQR: a simple quantum representation of infrared images

A simple quantum representation (SQR) of infrared images is proposed based on the characteristic that infrared images reflect infrared radiation energy of objects. The proposed SQR model is inspired from the Qubit Lattice representation for color images. Instead of the angle parameter of a qubit to...

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Bibliographic Details
Published in:Quantum information processing 2014, Vol.13 (6), p.1353-1379
Main Authors: Yuan, Suzhen, Mao, Xia, Xue, Yuli, Chen, Lijiang, Xiong, Qingxu, Compare, Angelo
Format: Article
Language:English
Subjects:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Artificial intelligence
Classical and quantum physics: mechanics and fields
Computer science
control theory
systems
Data Structures and Information Theory
Exact sciences and technology
Mathematical Physics
Pattern recognition. Digital image processing. Computational geometry
Physics
Physics and Astronomy
Quantum computation
Quantum Computing
Quantum information
Quantum Information Technology
Quantum Physics
Spintronics
Theoretical computing
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Description
Summary:A simple quantum representation (SQR) of infrared images is proposed based on the characteristic that infrared images reflect infrared radiation energy of objects. The proposed SQR model is inspired from the Qubit Lattice representation for color images. Instead of the angle parameter of a qubit to store a color as in Qubit Lattice representation, probability of projection measurement is used to store the radiation energy value of each pixel for the first time in this model. Since the relationship between radiation energy values and probability values can be quantified for the limited radiation energy values, it makes the proposed model more clear. In the process of image preparation, only simple quantum gates are used, and the performance comparison with the latest flexible representation of quantum images reveals that SQR can achieve a quadratic speedup in quantum image preparation. Meanwhile, quantum infrared image operations can be performed conveniently based on SQR, including both the global operations and local operations. This paper provides a basic way to express infrared images in quantum computer.
ISSN:1570-0755
1573-1332
DOI:10.1007/s11128-014-0733-y