2021
DOI: 10.1103/physrevlett.126.163902
|View full text |Cite
|
Sign up to set email alerts
|

Disordered Photonic Time Crystals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
43
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 75 publications
(43 citation statements)
references
References 41 publications
0
43
0
Order By: Relevance
“…[59][60][61][62] In addition to intriguing works in deep-learning photonics, including the design of nanostructures, [24,25,31] metamaterials [27,29,30] and metasurfaces, [33] holography, [32] our study on active photonic functionalities in disordered platforms will provide additional degrees of freedom in the application of deeplearning to light-matter interactions, paving the way to the handling of spatially-complex and dynamical systems. Although we examined one of the optical responses as an example-angular transmittance-the versatile features of the DNNs will enable engineering of not only the other responses (spectral responses, angular momenta, topology) but also their mixtures: the design of active disorder in the intermediate regime, [9] temporal disorder, [63] and disordered topological phenomena. [7] As shown in the analogy between GST-controlled disorder and target control of complex networks, [3] our machine learning strategy can also be extended to other fields beyond wave mechanics, such as the interpretation and design of evolving complex networks.…”
Section: Discussionmentioning
confidence: 99%
“…[59][60][61][62] In addition to intriguing works in deep-learning photonics, including the design of nanostructures, [24,25,31] metamaterials [27,29,30] and metasurfaces, [33] holography, [32] our study on active photonic functionalities in disordered platforms will provide additional degrees of freedom in the application of deeplearning to light-matter interactions, paving the way to the handling of spatially-complex and dynamical systems. Although we examined one of the optical responses as an example-angular transmittance-the versatile features of the DNNs will enable engineering of not only the other responses (spectral responses, angular momenta, topology) but also their mixtures: the design of active disorder in the intermediate regime, [9] temporal disorder, [63] and disordered topological phenomena. [7] As shown in the analogy between GST-controlled disorder and target control of complex networks, [3] our machine learning strategy can also be extended to other fields beyond wave mechanics, such as the interpretation and design of evolving complex networks.…”
Section: Discussionmentioning
confidence: 99%
“…It has been shown for the case s = 2 that such discrete time crystals are robust against external perturbations [50] and quantum fluctuations [50,51] and live for extremely long times [51,52]. Condensed matter phenomena can also be investigated in photonic time crystals [53,54] and phase space crystals [31,33,[55][56][57][58][59].…”
Section: Introductionmentioning
confidence: 99%
“…Temporal condensed matter phenomena that have been predicted to date include Mott insulator phases in the time dimension [38]; Anderson localization [34,[38][39][40][41]54] and many-body localization in the time dimension [42]; topologically protected edge states in time [43,53]; quasi-crystal structures in time [44,45]; two-dimensional time lattices supporting a Möbius strip geometry and flat-band physics [49]; and time-space crystals exhibiting a six-dimensional quantum Hall effect [47].…”
Section: Introductionmentioning
confidence: 99%
“…A wave arriving at an air/dielectric photonic crystal interface with a frequency associated with the photonic crystal bandgap experiences total reflection because the photonic crystal has no propagating modes that can support such a frequency. In PTCs, on the other hand, because energy is not conserved, waves with wavevectors inside the momentum gap change the energy they carry and exhibit not only exponential decay, but also exponential growth in time ( 8 , 9 ).…”
mentioning
confidence: 99%