Quantum Computing Algorithms and Computational Complexity

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Tác giả: Mauro Mezzini, Fernando L Pelayo

Ngôn ngữ: eng

ISBN-13: 978-3036577463

ISBN-13: 978-3036577470

ISBN: books978-3-0365-7747-0

Ký hiệu phân loại:

Thông tin xuất bản: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023

Mô tả vật lý: 1 electronic resource (124 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 375530

This reprint is mainly concerned with quantum algorithms, their mathematics from behind and the complexity issues arising from them. It comprises seven papers: Two of them are focused on improving the performance by means of quantum algorithms over the best instances of classical ones: "A Fast Quantum Image Component Labeling Algorithm" [1] by Yan Li, Dapeng Hao, Yang Xu and Kinkeung Lai. "Quantum Algorithms for Some Strings Problems Based on Quantum String Comparator" [2] by Kamil Khadiev, Artem Ilikaev and Jevgenijs Vihrovs. Another four papers deal with enhanced quantum algorithms: "Progress towards Analytically Optimal Angles in Quantum Approximate Optimisation": [3] by Daniil Rabinovich, Richik Sengupta, Ernesto Campos, Vishwanathan Akshay and Jacob Biamonte. "Quantum Weighted Fractional Fourier Transform" [4] by Tieyu Zhao, Tianyu Yang and Yingying Chi. "On the Amplitude Amplification of Quantum States Corresponding to the Solutions of the Partition Problem" [5] by Mauro Mezzini, Jose J. Paulet, Fernando Cuartero, Hernan I. Cruz and Fernando L. Pelayo. "On the Complexity of Finding the Maximum Entropy Compatible Quantum State" [6] by Serena Di Giorgio and Paulo Mateus. Last, but not least, one paper researched a classical operational research problem by means of quantum annealing: "GPS: A New TSP Formulation for Its Generalizations Type QUBO" [7] by Saul Gonzalez-Bermejo, Guillermo Alonso-Linaje and Parfait Atchade-Adelomou. As Guest Editors, we would like to thank the authors and reviewers who made this possible by promoting, spreading research on and supporting quantum computing.
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