Quantum entanglement that does not exist in classic world suggests disruptive quantum i $m$ age/sig $n$ al processing and wireless sensing techniques beyond the frontier of classic image/signal processing and sensing. By showing the fundamental difference between classic and quantum techniques, this paper comprehensively explains the principles and mechanisms of quantum wireless ghost imaging, quantum radar, and secure quantum remote sensing, with suggestions toward future technological opportunities in communication and signal processing.Quantum entanglement that does not exist in classic world suggests disruptive quantum i$m$age/sig$n$al processing and wireless sensing techniques beyond the frontier of classic image/signal processing and sensing. By showing the fundamental difference between classic and quantum techniques, this paper comprehensively explains the principles and mechanisms of quantum wireless ghost imaging, quantum radar, and secure quantum remote sensing, with suggestions toward future technological opportunities in communication and signal processing.

International Symposium on Wireless Personal Multimedia Communications (WPMC)Nov 19, 20231 citation

Quantum Image Processing

Woon Siong Gan

Springer eBooksJan 1, 202214 citations

Advances in Signal Processing Based on Quantum Theory

Wenbo Mei

Quantum theory is one of the prominent progresses in physics in last century. This paper focuses on advances in signal and image processing methods based on quantum theory. Firstly, some basic quantum theoretical concepts are introduced. Then, quantum signal processing, quantum neural network and quantum image processing are discussed separately. Quantum signal processing is stressed since it is a different branch from others in quantum information theory. It only employs the idea of quantum measurement in signal processing but need not fulfill the algorithms on quantum computers. Several applications of quantum signal processing are discussed here. At last, the prospects in this area are described.Quantum theory is one of the prominent progresses in physics in last century. This paper focuses on advances in signal and image processing methods based on quantum theory. Firstly, some basic quantum theoretical concepts are introduced. Then, quantum signal processing, quantum neural network and quantum image processing are discussed separately. Quantum signal processing is stressed since it is a different branch from others in quantum information theory. It only employs the idea of quantum measurement in signal processing but need not fulfill the algorithms on quantum computers. Several applications of quantum signal processing are discussed here. At last, the prospects in this area are described.

Keji daobaoJan 1, 20080 citations

Quantum Image Processing

Fei Yan, Salvador Elías Venegas-Andraca

Springer eBooksJan 1, 202070 citations

Innovative Applications of Quantum Signal Processing in Network Security and Image Processing

Jinfeng He, Zhengyang Qi, Lin Zhang +1 more

This thorough overview paper investigates how quantum computing could revolutionize communication systems by resolving the intrinsic drawbacks of classical signal processing. Due to the rapid improvements in technology, these systems are subject to increasing demands for larger connection densities and improved spectrum efficiency, which presents substantial hurdles for conventional signal processing. The acceptance and expansion of modern communication technologies are impeded by these obstacles, which are typified by a trade-off between computing complexity and communication performance. Based on quantum mechanics, quantum computing offers a powerful substitute for classical algorithms by introducing a new paradigm that drastically lowers computational complexity for certain applications. This paper explores the history of quantization in classical communication signals and explores the use of quantum computing techniques in critical applications such as data detection, multi-user detection and channel estimation. The work showcases sophisticated methods for image denoising and Fourier transformations, expanding the conversation to include quantum processing of image signals. These quantum methods show significant promise for improving spectral analysis efficiency, reducing noise and increasing processing speed and accuracy. This study offers a thorough basis for future research and technical innovation in the field of image and conventional signal processing by outlining the current state of the art and possible uses of quantum computing in the future.This thorough overview paper investigates how quantum computing could revolutionize communication systems by resolving the intrinsic drawbacks of classical signal processing. Due to the rapid improvements in technology, these systems are subject to increasing demands for larger connection densities and improved spectrum efficiency, which presents substantial hurdles for conventional signal processing. The acceptance and expansion of modern communication technologies are impeded by these obstacles, which are typified by a trade-off between computing complexity and communication performance. Based on quantum mechanics, quantum computing offers a powerful substitute for classical algorithms by introducing a new paradigm that drastically lowers computational complexity for certain applications. This paper explores the history of quantization in classical communication signals and explores the use of quantum computing techniques in critical applications such as data detection, multi-user detection and channel estimation. The work showcases sophisticated methods for image denoising and Fourier transformations, expanding the conversation to include quantum processing of image signals. These quantum methods show significant promise for improving spectral analysis efficiency, reducing noise and increasing processing speed and accuracy. This study offers a thorough basis for future research and technical innovation in the field of image and conventional signal processing by outlining the current state of the art and possible uses of quantum computing in the future.

SPINOct 17, 20240 citations

Quantum entanglement that does not exist in classic world suggests disruptive quantum i

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age/sig

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al processing and wireless sensing techniques beyond the frontier of classic image/signal processing and sensing. By showing the fundamental difference between classic and quantum techniques, this paper comprehensively explains the principles and mechanisms of quantum wireless ghost imaging, quantum radar, and secure quantum remote sensing, with suggestions toward future technological opportunities in communication and signal processing.