In this paper we introduce fusion-based quantum computation (FBQC), a model of universal quantum computation that is built on two primitive operations: generation of small constant-sized entangled resource states and projective entangling measurements, which we refer to as fusion. In particular, we...
The standard primitives of quantum computing include deterministic unitary entangling gates, which are not natural operations in many systems including photonics. Here, we present fusion-based quantum computation, a model for fault tolerant quantum computing constructed from physical primitives readily ...
To better reduce redundant data and improve the completeness and conciseness of existing feature data, this articleapplies the theories of fidelity and quantum computation to feature fusion and proposes a novel quantum-inspired method based on maximum fidelity.In contrast tocurrentquantum-inspired feature...
new algorithm. In addition, the proposed hybrid algorithm is applied to the real-world problem of image fusion of infrared (IR) and visible (VIS) images. Image fusion is a process of merging two or more images that are obtained from various sensors45,46. This is done to obtain a highly ...
Jie Lu ⁎ Lab of Decision Systems and e-Service Intelligence Centre for Quantum Computation and Intelligent Systems School of Software, Faculty of Engineering and Information Technology University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia article info Article history: Received ...
[4]. Traditional optimization algorithms are only suitable for solving small-scale problems because of their large computation volume, and it is often difficult to be effective in practical engineering applications. In recent years, many intelligent optimization algorithms have come into being due to ...
Quantum wavelet transformSum-modified-laplacian ruleThe parallelism and entanglement characteristics of quantum computation greatly improve the efficiency of image processing tasks. With the sharp increase of data size and requirement of real-time processing in image fusion application, rapid implementation ...
We propose a single-flux-quantum (SFQ) logic circuit based on the fusion computing systems––collision-based and reaction–diffusion fusion computers. A fusion computing system consists of regularly arrayed unit cells (fusion gates), where each unit has two input arms and two output arms and ...
Quantum wavelet transformSum-modified-laplacian ruleThe parallelism and entanglement characteristics of quantum computation greatly improve the efficiency of image processing tasks. With the sharp increase of data size and requirement of real-time processing in image fusion application, rapid implementation ...
this work employs the proposed algorithm as an optimization strategy to perform region-based image fusion of IR and VIS images. Here, DHPN is used to perform segmentation of the VIS image to extract its salient features. The derived features are utilized for weight map computation of both VIS...