11.95.+o Other algorithms

A Coherent Quantum Annealer with Rydberg Atoms

Date: 
2016-11-08
Author(s): 

A. W. Glaetzle, R. M. W. van Bijnen, P. Zoller, W. Lechner

Reference: 

Nat. Commun. 8, 15813 (2017)

There is a significant ongoing effort in realizing quantum annealing with different physical platforms. The challenge is to achieve a fully programmable quantum device featuring coherent adiabatic quantum dynamics. Here we show that combining the well-developed quantum simulation toolbox for Rydberg atoms with the recently proposed Lechner-Hauke-Zoller~(LHZ) architecture allows one to build a prototype for a coherent adiabatic quantum computer with all-to-all Ising interactions and, therefore, a novel platform for quantum annealing.

Creating a Superposition of Unknown Quantum States

Date: 
2015-06-03 - 2016-03-17
Author(s): 

Michał Oszmaniec, Andrzej Grudka, Michał Horodecki, Antoni Wójcik

Reference: 

Phys. Rev. Lett. 116, 110403

The superposition principle is one of the landmarks of quantum mechanics. The importance of quantum superpositions provokes questions about the limitations that quantum mechanics itself imposes on the possibility of their generation. In this work, we systematically study the problem of the creation of superpositions of unknown quantum states.

An Energy Based Scheme for Reconstruction of Piecewise Constant Signals observed in the Movement of Molecular Machines

Date: 
2015-04-29
Author(s): 

Joachim Rosskopf, Korbinian Paul-Yuan, Martin B. Plenio, Jens Michaelis

Reference: 

arXiv:1504.07873

Analyzing the physical and chemical properties of single DNA based molecular machines such as polymerases and helicases often necessitates to track stepping motion on the length scale of base pairs. Although high resolution instruments have been developed that are capable of reaching that limit, individual steps are oftentimes hidden by experimental noise which complicates data processing. Here, we present an effective two-step algorithm which detects steps in a high bandwidth signal by minimizing an energy based model (Energy based step-finder, EBS).

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