The Search for Structure in Quantum Computation

G. Falci, Elisabette Paladino

Jincheng Zhang

This paper introduces a novel quantum accelerator for topological structure search, leveraging quantum entanglement and quantum algorithms to significantly accelerate the process. Traditional methods are computationally expensive, necessitating substantial processing times. Our design utilizes quantum entanglement to establish correlated states, allowing for efficient exploration of the search space. A key innovation lies in a dynamically adaptive topology search strategy, allowing the accelerator to intelligently refine the search path based on the quantum state. The proposed system demonstrates a substantial improvement in search speed and the ability to identify promising topological structures compared to conventional approaches. This work establishes a foundation for future quantum computing advancements in data analysis and structural discovery.

Craig S. Lent

Liu Ya-ji

In this thesis,several basic conceptions of quantum computation are introduced,such as entanglement,quantum bit.Several kinds of main quantum algorithms are illustrated,such as Shor algorithm-the quantum algorithm for factoring,Grover search-the search for the disordering database,Hogg search-high structurization search.On the basis of knowledge of basic theories of quantum computation computing and quantum algorithm,two kinds of systems which play important role in the experiment of quantum computation was introduced,Nuclear magnetic resonance and cavity atom system.

Sergey Victorovich Ulyanov, Sergey Victorovich Ulyanov

A quantum software engineering platform includes quantum computing methods, a quantum algorithm theory and quantum programming.These areas develop according to a technological structure of nanotechnology development for hardware design of various configurations.In about 10 to 30 years we expect the appearing of an industrial quantum computer for real software engineering; this fact is due to overcoming a number of technological difficulties in implementing hardware, as well as the fundamental difficulty of eliminating decoherence physical phenomenon and correcting errors in quantum computers in near future.A key question in quantum computing is searching for quantum algorithms that potentially have a significant advantage and supremacy over classical algorithms for problems of practical interest.Therefore, currently, an approach is being developed to create quantum algorithm structures for quantum simulators with the possibility of effective implementation on classical architecture computers.This paper proposes an effective modelling method with information analysis of quantum search and decision-making algorithm structures in order to eliminate redundancy in practical implementation of a simulator on a classical structure computer.As an example, we demonstrate the method of modeling Grover's quantum search algorithm with stopping the search for a good solution based on the Shannon information entropy minimum principle.There are modeling examples to demonstrate the effectiveness of the developed approach in quantum software engineering and intelligent control robotics.

Stephen Fenner