Results 51 to 60 of about 6,488,304 (373)
Quantum Algorithm for Spectral Regression for Regularized Subspace Learning
In this paper, we propose an efficient quantum algorithm for spectral regression which is a dimensionality reduction framework based on the regression and spectral graph analysis. The quantum algorithm involves two core subroutines: the quantum principal
Fan-Xu Meng +3 more
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Quantum prediction algorithms [PDF]
53 pages, RevTeX with ...
Adrian Kent, Jim McElwaine
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Simulation of Grover's Quantum Search Algorithm in “Songshan” Supercomputer System [PDF]
With its superposition and entanglement properties,quantum computing has a powerful parallel computing capacity.However,current quantum computers cannot ensure stable superposition states of large-scale qubits while performing quantum operations such as ...
DU Shuaiqi, LIU Xiaonan, LIAN Demeng, LIU Zhengyu
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Quantum algorithm for credit valuation adjustments
Quantum mechanics is well known to accelerate statistical sampling processes over classical techniques. In quantitative finance, statistical samplings arise broadly in many use cases.
Javier Alcazar +6 more
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Quantum teleportation with atoms: quantum process tomography [PDF]
The performance of a quantum teleportation algorithm implemented on an ion trap quantum computer is investigated. First the algorithm is analyzed in terms of the teleportation fidelity of six input states evenly distributed over the Bloch sphere ...
Benhelm, J. +6 more
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Quantum Relief algorithm [PDF]
Relief algorithm is a feature selection algorithm used in binary classification proposed by Kira and Rendell, and its computational complexity remarkable increases with both the scale of samples and the number of features. In order to reduce the complexity, a quantum feature selection algorithm based on Relief algorithm, also called quantum Relief ...
Wen-Jie Liu +4 more
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Research on Palmprint Identification Method Based on Quantum Algorithms
Quantum image recognition is a technology by using quantum algorithm to process the image information. It can obtain better effect than classical algorithm.
Hui Li, Zhanzhan Zhang
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Quantum Algorithm for Approximating Maximum Independent Sets
We present a quantum algorithm for approximating maximum independent sets of a graph based on quantum non-Abelian adiabatic mixing in the sub-Hilbert space of degenerate ground states, which generates quantum annealing in a secondary Hamiltonian.
Wilczek, Frank, Wu, Biao, Yu, Hongye
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Higher-Order Quantum-Inspired Genetic Algorithms [PDF]
This paper presents a theory and an empirical evaluation of Higher-Order Quantum-Inspired Genetic Algorithms. Fundamental notions of the theory have been introduced, and a novel Order-2 Quantum-Inspired Genetic Algorithm (QIGA2) has been presented ...
Kucharski, Jacek, Nowotniak, Robert
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Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design [PDF]
We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design. Yao features generic and differentiable programming of quantum circuits.
Xiu-Zhe Luo +3 more
semanticscholar +1 more source

