A Critical and Moving-Forward View on Quantum Image Processing

Abstract

Physics and computer science have a long tradition of cross-fertilization. One of the latest outcomes of this mutually beneficial relationship is quantum information science, which comprises the study of information processing tasks that can be accomplished using quantum mechanical systems. Quantum Image Processing (QIMP) is an emergent field of quantum information science whose main goal is to strengthen our capacity for storing, processing, and retrieving visual information from images and video either by transitioning from digital to quantum paradigms or by complementing digital imaging with quantum techniques. The expectation is that harnessing the properties of quantum mechanical systems in QIMP will result in the realization of advanced technologies that will outperform, enhance or complement existing and upcoming digital technologies for image and video processing tasks.

16 pages, 4 figures. Under review

References in corpus (10)

• The theory of variational hybrid quantum-classical algorithms
• A Quantum Approximate Optimization Algorithm
• Exponential algorithmic speedup by quantum walk
• Quantum Imaging
• Real applications of quantum imaging
• Universal Variational Quantum Computation
• Quantum Google in a Complex Network
• Quantum algorithm for visual tracking
• Quantum Medical Imaging Algorithms
• A Canonical Image Set for Examining and Comparing Image Processing Algorithms