Related papers: A Study on the basics of Quantum Computing

More than a speculative technology, quantum computing seems to challenge our most basic intuitions about how the physical world should behave. In this thesis I show that, while some intuitions from classical computer science must be…

This paper has been withdrawn by the author due to inconsistency of the considered working hypothesis. The consistent treatment is presented in the last publications of the author.

The paper is withdrawn.

This paper has been withdrawn by the author. This paper is now obsolete. For a solution please see: arXiv:/1205.4265.

The effect of the random quantum transverse field $\Omega$

This paper has been withdrawn by the author as one of the coauthors needs institutional permission.

This paper has been withdrawn by the author

This paper has been withdrawn.

This paper is a gentle but rigorous introduction to quantum computing intended for discrete mathematicians. Starting from a small set of assumptions on the behavior of quantum computing devices, we analyze their main characteristics,…

The complexity of quantum computation remains poorly understood. While physicists attempt to find ways to create quantum computers, we still do not have much evidence one way or the other as to how useful these machines will be. The tools…

This paper has been withdrawn by the author due to an apparent misunderstanding of quantum feedback control.

Quantum computing is a good way to justify difficult physics experiments. But until quantum computers are built, do computer scientists need to know anything about quantum information? In fact, quantum computing is not merely a recipe for…

The widely accepted basis for quantum computing advantage is derived from the entanglement and superposition properties of the probabilistic interpretation of the underlying quantum mechanical formalism which in turn is widely accepted…

The last two decades have seen an explosive growth in the theory and practice of both quantum computing and machine learning. Modern machine learning systems process huge volumes of data and demand massive computational power. As silicon…

Withdrawn; replaced by longer, more detailed paper quant-ph/0010065.

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The paper has been temporarily withdrawn.

This paper has been withdrawn by the author because in the main text some discussion parts were inadvertently added by mistake.

The paper has been withdrawn by the author because the result obtained has been reported earlier by other authors.

This paper has been withdrawn by the author, as it is now incorporated in 0901.4506 (v4)