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Andrei N. Soklakov

Researcher at University of New Mexico

Publications -  5
Citations -  27

Andrei N. Soklakov is an academic researcher from University of New Mexico. The author has contributed to research in topics: Algorithmic information theory & Probability distribution. The author has an hindex of 2, co-authored 5 publications receiving 27 citations. Previous affiliations of Andrei N. Soklakov include Royal Holloway, University of London.

Papers
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Classical limit in terms of symbolic dynamics for the quantum baker's map

TL;DR: A formal proof that the quantum baker's map approaches a classical Bernoulli shift in the limit of a small effective Planck's constant is given.
Journal ArticleDOI

Preparation information and optimal decompositions for mixed quantum states

TL;DR: This work defines an optimal decomposition as a decomposition for which the average preparation information is minimal, and characterizes the system–environment correlations.
Proceedings ArticleDOI

Hypothesis elimination on a quantum computer

TL;DR: In this paper, the authors describe how to use Grover's algorithm to perform hypothesis elimination for a class of probability distributions encoded on a register of qubits, and establish a lower bound on the required computational resources.
Journal ArticleDOI

Preparation information and optimal decompositions for mixed quantum states

TL;DR: In this paper, the authors define the preparation information of a pure or mixed state in a given decomposition and define an optimal decomposition as a decomposition for which the average preparation information is minimal.
Proceedings ArticleDOI

Hypothesis Elimination on a Quantum Computer

TL;DR: An algorithm to perform hypothesis elimination for a class of probability distributions encoded on a register of qubits is described, and a lower bound on the computational resources it requires is established.