SQR: a simple quantum representation of infrared images
Abstract 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...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yuan, Suzhen [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2014 |
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| Übergeordnetes Werk: |
Enthalten in: Quantum information processing - Springer US, 2002, 13(2014), 6 vom: 01. Feb., Seite 1353-1379 |
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| Übergeordnetes Werk: |
volume:13 ; year:2014 ; number:6 ; day:01 ; month:02 ; pages:1353-1379 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11128-014-0733-y |
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OLC207514432X |
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| 520 | |a Abstract 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. | ||
| 650 | 4 | |a Infrared image | |
| 650 | 4 | |a Quantum computation | |
| 650 | 4 | |a Image preparation | |
| 650 | 4 | |a Qubit lattice | |
| 700 | 1 | |a Mao, Xia |4 aut | |
| 700 | 1 | |a Xue, Yuli |4 aut | |
| 700 | 1 | |a Chen, Lijiang |4 aut | |
| 700 | 1 | |a Xiong, Qingxu |4 aut | |
| 700 | 1 | |a Compare, Angelo |4 aut | |
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Yuan, Suzhen |
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10.1007/s11128-014-0733-y |
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sqr: a simple quantum representation of infrared images |
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SQR: a simple quantum representation of infrared images |
| abstract |
Abstract 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. © Springer Science+Business Media New York 2014 |
| abstractGer |
Abstract 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. © Springer Science+Business Media New York 2014 |
| abstract_unstemmed |
Abstract 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. © Springer Science+Business Media New York 2014 |
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SQR: a simple quantum representation of infrared images |
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| author2 |
Mao, Xia Xue, Yuli Chen, Lijiang Xiong, Qingxu Compare, Angelo |
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Mao, Xia Xue, Yuli Chen, Lijiang Xiong, Qingxu Compare, Angelo |
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2024-07-04T00:30:16.724Z |
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