Related papers: Evolving Quantum Circuits using Genetic Algorithms
Variational quantum circuits have arisen as an important method in quantum computing. A crucial step of it is parameter optimization, which is typically tackled through gradient-descent techniques. We advantageously explore instead the use…
This paper has been withdrawn
The paper has been withdrawn by change of content and some errors in the examples.
This paper has been withdrawn: it does not evade the no-go results of Mayers, Lo and Chau, to whom I am most grateful for helpful correspondences.
We present superconducting quantum circuits which exhibit atomic energy spectrum and selection rules as ladder and lambda three-level configurations designed by means of genetic algorithms. These heuristic optimization techniques are…
Generative modeling using samples drawn from the probability distribution constitutes a powerful approach for unsupervised machine learning. Quantum mechanical systems can produce probability distributions that exhibit quantum correlations…
This manuscript has been removed duo to incorrect contents.
The paper has been withdrawn by the authors.
This paper has been withdrawn by the authors due to an unlikely results.
This paper has been withdrawn by the author; see the much expanded, improved, and generalized version at arXiv:0811.2073.
This paper has been withdrawn by the author.
This paper has been withdrawn.
This paper has been withdrawn.
A attempt at a quantum algorithm for solving NP problems is presented. Now withdrawn because some crucial operators were not unitary.
This paper has been withdrawn
This paper has been withdrawn by the author(s)
This paper has been withdrawn. See published paper http://arxiv.org/math.HO/0512390
Numerical optimization methods such as hillclimbing and simulated annealing have been applied to search for highly entangled multi-qubit states. Here the genetic algorithm is applied to this optimization problem -- to search not only for…
This paper has been withdrawn.
This paper is being withdrawn.