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CRC Press eBooks

Intelligent Quantum Information Processing

Siddhartha Bhattacharyya, Iván Cruz-Aceves, Arpan Deyasi, Pampa Debnath, Rajarshi Mahapatra

Published Mar 26, 2024• 2 citations
Publisher
DOI
10.1201/9781003373117

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Abstract An attempt to mathematically formalize the problem of intelligence causes difficulties, if only because there is no single definition for intelligence adopted by all psychologists. In this work, this problem is addressed in the following way: through highlighting the essential features of the informal definitions of human intelligence that have been given by expert psychologists it is conducive to put forward an abstract mathematical description of intelligence. Analogies between the problem of intelligence and the problem of quantum mechanical measurements are found, and then the solution to a model problem on the influence of observations on a process of quantum tunneling of particles through a potential barrier is given. Within the framework of the quantum mechanical approach with a non-Hermitian Hamiltonian, a system of differential equations, which formally reflect the concept of intelligence, is formulated, and its analytical solution is presented. On the basis of the obtained solution of the model problem, this paper discusses the question of what phenomena and processes can accompany a process of the realization of intelligence.
The analysis and use of visual information is a first order task for AI researchers. Due to the architecture of classical computers and to the computational complexity of state-of-the-art algorithms, it is required to find better ways to store, process and retrieve information for image processing. One plausible and exciting approach is Quantum Information Processing (QIP). In this poster we present an initial step towards the definition of an emerging field, Quantum Image Processing, by showing how to store an image using a quantum system as well as some of the unique properties of that storage process derived from quantum mechanics laws.