Results 81 to 90 of about 74,156 (167)

Corrigendum to "Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm". [PDF]

Comput Intell Neurosci, 2022
Zhang J, Qiu X, Li X, Huang Z, Wu M, Dong Y.   +5 more
europepmc   +1 more source

Quantum simulation and optimization in hot quantum networks

Physical Review B, 2019
Manuscript: 5 pages, 4 figures.
Schuetz, M. J.A. (author), Vermersch, B. (author), Kirchmair, G. (author), Vandersypen, L.M.K. (author), Cirac, J. I. (author), Lukin, M. D. (author), Zoller, P. (author)   +6 more
openaire   +6 more sources

Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm. [PDF]

Comput Intell Neurosci, 2021
Zhang J, Qiu X, Li X, Huang Z, Wu M, Dong Y, Dong Y.   +6 more
europepmc   +1 more source

Combinatorial optimization with quantum computers

Engineering Optimization
Quantum computers leverage the principles of quantum mechanics to do computation with a potential advantage over classical computers. While a single classical computer transforms one particular binary input into an output after applying one operator to the input, a quantum computer can apply the operator to a superposition of binary strings to provide ...
Chicano, Francisco, Luque, Gabiel, Dahi, Zakaria Abdelmoiz, Gil-Merino, Rodrigo   +3 more
openaire   +3 more sources

Optimizing Variational Quantum Neural Networks Based on Collective Intelligence

Mathematics
Quantum machine learning stands out as one of the most promising applications of quantum computing, widely believed to possess potential quantum advantages.
Zitong Li, Tailong Xiao, Xiaoyang Deng, Guihua Zeng, Weimin Li   +4 more
doaj   +1 more source

Quantum Langevin Dynamics for Optimization

Communications in Mathematical Physics
52 pages, 1 table, 25 ...
Zherui Chen, Yuchen Lu, Hao Wang, Yizhou Liu, Tongyang Li   +4 more
openaire   +3 more sources

Constrained quantum optimization via iterative warm-start -mixers

New Journal of Physics
The quantum approximate optimization algorithm (QAOA) is a leading hybrid heuristic for combinatorial optimization, but efficiently handling hard constraints remains a significant challenge.
David Bucher, Maximilian Janetschek, Michael Poppel, Jonas Stein, Claudia Linnhoff-Popien, Sebastian Feld   +5 more
doaj   +1 more source

Left-deep join order selection with higher-order unconstrained binary optimization on quantum computers

Frontiers in Computer Science
Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database optimization and data management.
Valter Uotila
doaj   +1 more source

Improving Quantum Optimization Algorithms by Constraint Relaxation

Applied Sciences
Quantum optimization is a significant area of quantum computing research with anticipated near-term quantum advantages. Current quantum optimization algorithms, most of which are hybrid variational-Hamiltonian-based algorithms, struggle to present ...
Tomasz Pecyna, Rafał Różycki
doaj   +1 more source

Speedup of high-order unconstrained binary optimization using quantum $${{\mathbb{Z}}}_{2}$$ Z 2 lattice gauge theory

Communications Physics
An important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficiently than quadratic unconstrained binary optimization, but how to quickly solve it has ...
Bi-Ying Wang, Xiaopeng Cui, Qingguo Zeng, Yemin Zhan, Man-Hong Yung, Yu Shi   +5 more
doaj   +1 more source