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AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsMarvin Weinstein, David Horn
Estimating the term…
Data clustering is provided according to a dynamical framework based on quantum mechanical time evolution of states corresponding to data points. To expedite computations, we can approximate the time-dependent Hamiltonian formalism by a truncated calculation within a set of Gaussian wave-functions (coherent states) centered around the original points. This allows for analytic evaluation of the time evolution of all such states, opening up the possibility of exploration of relationships among data-points through observation of varying dynamical-distances among points and convergence of points into clusters. This formalism may be further supplemented by preprocessing, such as dimensional reduction through singular value decomposition and/or feature filtering.
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A method for data clustering, comprising:
A dynamic quantum clustering server system, comprising:
Dependencies are inferred from the claim text.