For that reason a statistical model of the recognition process should reflect both — the change of the signals and the loss of excited neurons. Now, [5] ...
According to the general conception of quantum theory the procedure of recognition should be described by an operator on the considered Fock space. In order to ...
ABSTRACT: Our main aim is to prove a more general version of the quantum Zeno effect. Then we discuss some examples of the quantum Zeno effect. Furthermore, we ...
Quantum Models of the Recognition Process — On a Convergence Theorem. Article. Full-text available. Jun 2010. Karl-Heinz Fichtner ...
Quantum Models of the Recognition Process - On a Convergence Theorem · Physics. Open systems & information dynamics · 2010.
This paper presents a convergence analysis and performance evaluation of the QPSO algorithm and it also proposes two variants of the QPSO algorithm.
... , Fichtner, L., Freudenberg, W. and Ohya, M : Quantum models of the recognition process – on a convergence theorem; to appear in proceedings ICQBIC 2007.
Jun 22, 2023 · This quantum circuit takes input data (or the state preparation) and outputs measurement statistics. It is also subject to certain parameters.
Jul 20, 2022 · We review here recent progress in our understanding of the controllability of open quantum systems and in the development and application of quantum control ...
Aug 9, 2024 · The core idea of these models is to view tensor networks as a special type of network, map data to tensor states, and achieve recognition and ...