Chapter 5 Quantum imaging

Luigi A. Lugiato, A. Gatti, E. Brambilla

Taranjeet Kaur, Radhika Singla, Spinder Kaur +2 more

Quantum imaging is an emerging field based on quantum mechanics and imaging technology, capable of unique capabilities in resolution, sensitivity, and information processing. An extensive review of the concepts, methods, and uses of quantum imaging is given in this chapter. The main ideas of quantum mechanics that are relevant to imaging, including superposition, entanglement, and quantum measurement, are introduced in this chapter. Following this, the various quantum imaging techniques, including quantum entanglement imaging, ghost imaging, and quantum lithography, illuminating their operational mechanisms and advantages over classical methods, are explored. The role of advanced photonic systems, single-photon detectors, and quantum dots in enhancing image quality are discussed. Additionally, the incorporation of quantum computing and machine learning with quantum imaging is examined, highlighting how these interdisciplinary approaches are pushing the boundaries of what can be visualized and analysed. Quantum imaging applications are varied, groundbreaking, and innovative, ranging from medical diagnostics and biological imaging to quantum communication and fundamental physics research. By harnessing the exclusive properties of quantum states, these applications achieve higher precision and new capabilities that classical imaging techniques cannot match. The challenges and future directions of quantum imaging, considering both the technical hurdles and the potential for groundbreaking discoveries, are discussed as well. In a nutshell, the chapter aims to offer the readers an in-depth insight into quantum imaging, its current state, and its future prospects by providing a holistic view of how quantum imaging is composed to revolutionize various scientific and technological fields.

Ray LaPierre

Maged Marghany

The keystone question is: what is meant by quantum image processing. Prior to answering this question, the basis of quantum computing must be understood. In fact, many academic institutions deal with mineral image processing as software that facilitates obtaining results without a perfect understanding of how the image processing algorithms are operating. This chapter demonstrates the principle of quantum image processing. The discrimination between bit and qubit is addressed. Indeed, the keystone of quantum image processing is based on using qubit as discussed clearly in this chapter. Some basic quantum image processing such as quantum image storage, quantum image colour transfer and novel enhanced quantum image representation (NEQR) are introduced. These principles of quantum image processing are the cornerstone in dealing with quantum image processing tool for mineral exploration in remote sensing data.

Zhixin Zhang, Xianhua Song, Ahmed A. Abd El‐Latif +1 more

From the quantum images and their preparation methods described in Chapter 2, it can be seen that preparing a quantum image requires a large number of basic quantum gates. For example, to prepare a quantum color image Quantum Image Representation based on HSI (QIRHSI) with a size of https://www.w3.org/1998/Math/MathML" display="inline"> 2 8 × 2 8 pixels and an intensity value range of https://www.w3.org/1998/Math/MathML" display="inline"> 0 ∼ 2 8 − 1 , approximately the number of basic quantum gates required is 2 64 . Therefore, in this chapter, the resources for image preparation will be optimized. The principle of Boolean expression minimization will be used to simplify the quantum circuit in the quantum image QIRHSI. In essence, it is to replace the original preparation of the quantum image with a new unitary transformation that has fewer quantum logic gates.

Mikhail I. Kolobov