At first this paper summarizes the current situation and historical development of the spectrum research, the difficulties and demand background. Then it introduces the research status of quantum spectrum and research ideas of energy distribution in quantum spectrum. We explain the concept of quantum spectrum, the difference between quantum spectrum and spectrum. We elaborate energy distribution in quantum spectrum from three aspects, which are representation, feature and mechanism of quantum spectrum energy distribution. Finally we describe the application of monochrome quantum spectrum about imaging and detection aspects and give an overview of the quantum spectrum. Based on above research results we continue to study and achieve the detection of multi-spectral imaging, which provide the technical basis for the application. We try access to an advanced stage of quantum spectrum study as soon as possible.
At first this paper summarizes the current situation and historical development of the spectrum research, the difficulties and demand background. Then it introduces the research status of quantum spectrum and research ideas of energy distribution in quantum spectrum. We explain the concept of quantum spectrum, the difference between quantum spectrum and spectrum. We elaborate energy distribution in quantum spectrum from three aspects, which are representation, feature and mechanism of quantum spectrum energy distribution. Finally we describe the application of monochrome quantum spectrum about imaging and detection aspects and give an overview of the quantum spectrum. Based on above research results we continue to study and achieve the detection of multi-spectral imaging, which provide the technical basis for the application. We try access to an advanced stage of quantum spectrum study as soon as possible.
At the beginning of 2001, Professor Siwen Bi first proposed the new direction of quantum remote sensing at home and abroad. Based on the research of fundamental theory and information mechanism of quantum remote sensing, a new concept of quantum spectral imaging was put forward in August 2006. 10 years, quantum spectral imaging research has made breakthrough progress and stage results. Firstly, the research status of spectral imaging and the background of quantum spectrum imaging are introduced. Secondly, the concept and research methods of quantum spectrum imaging, the relationship between quantum spectrum imaging and spectral imaging and advantages are introduced. The basic theory of quantum spectroscopy is described, especially the research of quantum spectroscopy imaging and quantum spectroscopy. Finally, the significance and application prospect of quantum spectrum imaging are described.
Based on the requirements on high resolution and high signal-to–ratio for infrared thermal imaging technology and infrared nondestructive detection, the paper firstly introduces their research significance and basic concept, and compares their differences and advantages in basic theory, research scale and instruments design. Then the paper elaborates the author and his team, after three periods of researches that focusing on the theory, experiments and technology, have completed the production of infrared quantum spectral detection principle prototype in December 2014. All tests and experiments show that every technical indicators meets the requirements, the resolution is 2-3 times higher than that of coherent light detection imaging, which provides significant technical basis for the production of infrared quantum spectral imaging engineering prototype. Finally, the paper summarizes the key technical problems to be solved and application outlook for the infrared quantum spectral detection imaging technology research.
Quantum image processing will be an important issue in the age of quantum computers. Quantum image processing generally includes quantum image representations, quantum image processing algorithms, and quantum image measurement. Among them, quantum image representation is a very important part of quantum image processing. Therefore, it is of great significance for quantum image processing to study the representation of quantum images. First, we elaborate on the main quantum image representations and analyze, compare and summarize them. This paper focuses on the definition of these quantum image representations the preparation of quantum images and the number of quantum bits required as well as the computational complexity. Then, this paper analyzes, compares and summarizes the similarities and differences between these quantum image representations. Finally, the challenges and future development in the field of quantum image processing are summarized and forecasted. This work will help researchers to understand the advances related to quantum image representations in the field of quantum image processing and is therefore of some reference value.
Image processing on quantum platform is a hot topic for researchers now a day. Inspired from the idea of quantum physics, researchers are trying to shift their focus from classical image processing towards quantum image processing.This paper starts with a brief review of the principles which underlie quantum computing, and also deals with some of the basics of qubits and quantum computing.Then this paper starts to deal with some different methods of image storage, representation and retrieval in a quantum system.This paper also describes the advantages of using those methods in quantum systems compare to classical systems. In the next section, a short discussion on some of the important aspects, comparison among them and applications of quantum image processing is presented. A few other hot topics and open problems in quantum image processing are mentioned in this paper. This review article will provide the readership an overview of progress witnessed in the area of Quantum Image processing while also simulating further interest to pursue more advanced research in it.
Based on the development and application needs, Professor Siwen Bi has proposed quantum remote sensing (QRS) in the early 2001. Firstly, the paper introduces the background, concept and research status at home and abroad of quantum remote sensing, it also introduces the differences and advantages of quantum remote sensing compared with the classical remote sensing. Then it elaborates wave-particle duality, Superposition State, Tunneling Effect of QRS research basis and quantum entanglement, its basic theory and information mechanism, as well as the research progress of QRS imaging processing, quantum spectrum remote sensing and QRS calibration. Besides, it emphasizes the experimental process of QRS imaging and the production of principle prototype, based on which, Professor Bi proposed active imaging information transmission technology of satellite borne QRS technical solutions and conducted research on its system composition and working principle, squeezing light preparation of active imaging, injection device and quantum non-noise amplifier device, providing solutions and technical basis for realizing active imaging technology of satellite-borne QRS. The QRS imaging technology can significantly improve the signal-to-noise ratio and space resolution of QRS imaging information transmission. Finally, the paper summarizes the research conditions over the past eighteen years and plan for the future.
This paper systematically reviews the historical development trajectory and current situation of quantum financial theory research through an in-depth review of relevant literature. This paper summarizes the history of the concept of quantum finance, elaborates on the development stages of quantum finance, and explains the contributions of representative work in different periods in various aspects, such as theoretical frameworks, mathematical models, and algorithmic tools, which is of great significance to the research path of quantum finance. In addition, the paper introduces in detail the research progress of domestic and foreign body problems, such as quantum algorithm optimization of investment portfolios, quantitative pricing of derivatives, quantum neural networks, etc., laying a good foundation for future in-depth study of this interdisciplinary subject. Overall, this paper systematically reviews the development history of quantum finance research, provides readers with a macro understanding framework by sorting out the progress in different research fields, and has significant reference value for interdisciplinary exchanges.