Related papers: Optimizing Variational Quantum Circuits using Evol…
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This paper has been withdrawn due to errors in the analysis of data with Carrier Access Rate control and statistical methodologies.
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This paper has been withdrawn by the author because it was a speculative investigation.
This paper has been withdrawn by the author due to a new work in [arXiv:0901.0456v4] which can contain the results in this paper.
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Withdrawn by arXiv administration because authors have forged affiliations and acknowledgements, and have not adequately responded to charges [hep-th/9912039] of unattributed use of verbatim material.
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Multi-Agent Reinforcement Learning is becoming increasingly more important in times of autonomous driving and other smart industrial applications. Simultaneously a promising new approach to Reinforcement Learning arises using the inherent…
Quantum algorithms are of great interest for their possible use in optimization problems. In particular, variational algorithms that use classical counterparts to optimize parameters hold promise for use in currently existing devices.…
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This paper has been withdrawn by the author due to rewritting and skipping crucial sign errors.
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This paper has been withdrawn by the author due to a crucial error in one of equation in (3).