Systems and methods for determining optimal parameters for dynamic quantum clustering analyses
US10169445B2 · kind B2 · utility
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Key dates
| Filing date | Sep 22, 2014 |
| Grant date | Jan 1, 2019 |
| Priority date | — |
| Expiry date | Jun 6, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/763
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In the present work, quantum clustering is extended to provide a dynamical approach for data clustering using a time-dependent Schrödinger equation. 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. Additionally, the parameters of the analysis can be modified in order to improve the efficiency of the dynamic quantum clustering processes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.