| Title |
Quantum walk coherences on a dynamical percolation graph
|
|---|---|
| Published in |
Scientific Reports, August 2015
|
| DOI | 10.1038/srep13495 |
| Pubmed ID | |
| Authors |
Fabian Elster, Sonja Barkhofen, Thomas Nitsche, Jaroslav Novotný, Aurél Gábris, Igor Jex, Christine Silberhorn |
| Abstract |
Coherent evolution governs the behaviour of all quantum systems, but in nature it is often subjected to influence of a classical environment. For analysing quantum transport phenomena quantum walks emerge as suitable model systems. In particular, quantum walks on percolation structures constitute an attractive platform for studying open system dynamics of random media. Here, we present an implementation of quantum walks differing from the previous experiments by achieving dynamical control of the underlying graph structure. We demonstrate the evolution of an optical time-multiplexed quantum walk over six double steps, revealing the intricate interplay between the internal and external degrees of freedom. The observation of clear non-Markovian signatures in the coin space testifies the high coherence of the implementation and the extraordinary degree of control of all system parameters. Our work is the proof-of-principle experiment of a quantum walk on a dynamical percolation graph, paving the way towards complex simulation of quantum transport in random media. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 39% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 15 | 65% |
| Engineering | 2 | 9% |
| Economics, Econometrics and Finance | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 2 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2015.
All research outputs
#18,833,834
of 24,010,679 outputs
Outputs from Scientific Reports
#92,877
of 130,315 outputs
Outputs of similar age
#184,379
of 271,082 outputs
Outputs of similar age from Scientific Reports
#1,387
of 1,974 outputs
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