The GQP approach transforms the data mining process into astochastic dynamical process of particle motion, collision and quantum entanglement of generalized ...
The GQP approach transforms the data mining process into astochastic dynamical process of particle motion, collision and quantum entanglement of generalized ...
Oct 18, 2008 · This paper is devoted to a novel data-mining model based on self-organizing entanglement dynamics of generalized quantum particles (GQP). The ...
Dianxun Shuai, Qing Shuai: A New Data-Mining Approach: Self-Organizing Entanglement Dynamics of Quantum Particles. ICNC (3) 2008: 609-613.
A novel generalized quantum particle model (GQPM) to data self-organizing clustering that transforms the data clustering process into a stochastic process ...
... This paper is devoted to a new generalized quantum particle model (GQPM) based on the random dynamics and quantum entanglement of quantum particles for data ...
This paper is devoted to a novel stochastic generalized cellular automata (GCA) for self-organizing data clustering in enterprise computing.
This paper presents a solitary wave propagation (SWP) approach to optimize task allocation and source assignment in multi-agent systems ...
Dec 15, 2022 · We explore the principal of the dissipation-driven entanglement generation and stabilization, applying the wisdom of dissipative structure theory to the ...
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Jun 27, 2024 · Measurement-induced entanglement phase transitions in monitored quantum circuits have stimulated activity in a diverse research community.