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Quantum field lens coding and classification algorithm to predict measurement outcomes


ABSTRACT: Graphical abstract This study develops a method to implement a quantum field lens coding and classification algorithm for two quantum double-field (QDF) system models: 1- a QDF model, and 2- a QDF lens coding model by a DF computation (DFC). This method determines entanglement entropy (EE) by implementing QDF operators in a quantum circuit. The physical link between the two system models is a quantum field lens coding algorithm (QF-LCA), which is a QF lens distance-based, implemented on real

SUBMITTER: Alipour P 

PROVIDER: S-EPMC10114244 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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