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ICML
2007
IEEE
14 years 5 months ago
Quantum clustering algorithms
By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, ...
Esma Aïmeur, Gilles Brassard, Sébastie...
ICPR
2008
IEEE
13 years 11 months ago
Graph drawing using quantum commute time
In this paper, we explore experimentally the use of the commute time of the continuous-time quantum walk for graph drawing. For the classical random walk, the commute time has bee...
David Emms, Edwin R. Hancock, Richard C. Wilson
EC
2006
118views ECommerce» more  EC 2006»
13 years 4 months ago
Human-Competitive Evolution of Quantum Computing Artefacts by Genetic Programming
We show how Genetic Programming (GP) can be used to evolve useful quantum computing artefacts of increasing sophistication and usefulness: firstly specific quantum circuits, then ...
Paul Massey, John A. Clark, Susan Stepney
CSE
2012
IEEE
12 years 4 days ago
Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters
—Continuum quantum Monte Carlo (QMC) has proved to be an invaluable tool for predicting the properties of matter from fundamental principles. By solving the manybody Schr¨odinge...
Kenneth Esler, Jeongnim Kim, David M. Ceperley, Lu...
ISBRA
2007
Springer
13 years 10 months ago
Clustering Algorithms Optimizer: A Framework for Large Datasets
Clustering algorithms are employed in many bioinformatics tasks, including categorization of protein sequences and analysis of gene-expression data. Although these algorithms are r...
Roy Varshavsky, David Horn, Michal Linial