2004
DOI: 10.1103/physreve.69.056205
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Experimental simulation of quantum graphs by microwave networks

Abstract: We present the results of experimental and theoretical study of irregular, tetrahedral microwave networks consisting of coaxial cables (annular waveguides) connected by T-joints. The spectra of the networks were measured in the frequency range 0.0001-16 GHz in order to obtain their statistical properties such as the integrated nearest neighbor spacing (INNS) distribution and the spectral rigidity ∆ 3 (L). The comparison of our experimental and theoretical results shows that microwave networks can simulate quan… Show more

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Cited by 183 publications
(233 citation statements)
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“…Accordingly, the fluctuation properties in the spectra of classically chaotic quantum graphs with and without T invariance are expected to coincide with those of random matrices from the GOE and the GUE, respectively. This was confirmed experimentally [10,11] for the nearest-neighbor spacing distribution using microwave networks [22][23][24][25][26].…”
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confidence: 48%
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“…Accordingly, the fluctuation properties in the spectra of classically chaotic quantum graphs with and without T invariance are expected to coincide with those of random matrices from the GOE and the GUE, respectively. This was confirmed experimentally [10,11] for the nearest-neighbor spacing distribution using microwave networks [22][23][24][25][26].…”
mentioning
confidence: 48%
“…However, there are nongeneric features in the spectra of real physical systems that are not yet fully understood. Such problems are best tackled experimentally with the help of model systems like microwave billiards [8,9] and microwave graphs [10,11]. In the experiments with microwave billiards the analogy between the scalar Helmholtz equation and the Schrödinger equation of the corresponding quantum billiard is exploited.…”
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confidence: 99%
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“…-Length swapping can be easily implemented in experimental simulations of quantum graphs by networks of RF wave-guides [19].…”
Section: Discussionmentioning
confidence: 99%
“…In this case the disorder is introduced either by choosing random bond lengths [77,79,80] (which is a parameter not present in our network model) or by randomizing the vertex-scattering matrices [78] (somehow equivalent to consider random connection strengths). Some of the RMT properties of quantum graphs have already been tested experimentally by the use of small ensembles of small microwave networks with fixed connectivity [81]. Furthermore, complex networks having specific topological properties (such as small-world and scale-free networks, where randomness is applied only to the connectivity) show signatures of RMT behavior in their spectral and eigenfunction properties [34-36, 38, 48].…”
Section: Other Erdős-rényi Random Networkmentioning
confidence: 99%