Related papers: Evolving Quantum Circuits using Genetic Algorithms

In this work, we evaluate an evolutionary algorithm (EA) to optimize a given circuit in such a way that it reduces the required communication when executed in the Distributed Quantum Computing (DQC) paradigm. We evaluate our approach for a…

This paper has been withdrawn due to the withdrawal of the related paper.

Genetic algorithms are highly effective optimization techniques for many computationally challenging problems, including combinatorial optimization tasks like portfolio optimization. Quantum computing has also shown potential in addressing…

This paper has been withdrawn by the author.

This paper has been withdrawn by the author(s).The scheme presented is insecure.

This paper has been withdrawn by the author due to a crucial error in eq.59. I apologize for the inconveniences.

The paper was removed.

This paper has been withdrawn, as all conjectures (and one claim) have been proven incorrect. Some of what remains may eventually reappear in a different context.

This article has been replaced by arXiv:0807.3093

This paper has been withdrawn by the author due to a missing figure

The paper is withdrawn.

The paper has been withdrawn

This paper has been withdrawn by the author.

We investigate the potential of bio-inspired evolutionary algorithms for designing quantum circuits with specific goals, focusing on two particular tasks. The first one is motivated by the ideas of Artificial Life that are used to reproduce…

This paper has been withdrawn.

This paper was withdrawn by the authors.

The paper has been withdrawn by the author.

The paper is withdrawn.

This paper has been withdrawn by the author(s), due a crucial error in Eqn. 30.

This paper has been withdrawn by the author due to time-consuming revision.