Synthesis of quantum images using phase rotation

DU, Shiping, Daowen QIU, Jozef GRUSKA and Paulo MATEUS. Synthesis of quantum images using phase rotation. Quantum Information Processing. New York: Springer, 2019, vol. 18, No 9, p. 1-28. ISSN 1570-0755. Available from: https://dx.doi.org/10.1007/s11128-019-2396-1.

Basic information

• Original name: Synthesis of quantum images using phase rotation
• Authors: DU, Shiping, Daowen QIU, Jozef GRUSKA (703 Slovakia, belonging to the institution) and Paulo MATEUS.
• Edition: Quantum Information Processing, New York, Springer, 2019, 1570-0755.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Germany
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 2.433
• RIV identification code: RIV/00216224:14330/19:00113865
• Organization unit: Faculty of Informatics
• Doi: http://dx.doi.org/10.1007/s11128-019-2396-1
• UT WoS: 000478898900001
• Keywords in English: Quantum image; Image synthesis; Phase errors; Multiple phase estimation
• Tags: International impact, Reviewed

Abstract

A topic about synthesis of quantum images is proposed, and a specific phase rotation transform constructed is adopted to theoretically realize the synthesis of two quantum images. The synthesis strategy of quantum images comprises three steps, which include: (1) in the stage of phase extraction, we obtain the phases of the state of the quantum image by transforming the state of the quantum image to prepare the conditions for multiple phases extraction. (2) In the stage of rotation operator construction, the phases obtained in the first stage are used to construct the rotation operator where a mechanism is introduced into it to reduce the phase overflow. (3) In the stage of application of the rotation operator, we apply the operator constructed in the second stage on the state of quantum image to get a goal state. Additionally, numerical analysis gives the joint uncertainty relation of the pixel of the synthesized quantum image. The analysis result about the compression ratio indicates that the phase rotation transform and the overflow control mechanism are effective.