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Article
Nikolai Klimkin
Moscow State University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6576-3602
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Neural networks are a prominent tool for identifying and modeling complex patterns, which are otherwise hard to detect and analyse. While machine learning and neural networks have been finding applications across many areas of science and technology, their use in decoding ultrafast dynamics of quantum systems driven by strong laser fields has been limited so far. Here we use deep neural networks to analyze spectra of highly nonlinear optical response of a crystal to intense few-cycle laser pulses. We construct a deep neural network that can efficiently utilize such spectra to resolve both the complex spectral phase of ultrashort laser pulses and simultaneously reconstruct the band structure of the crystal. Our results offer a new tool for attosecond spectroscopy of quantum dynamics and also open a route to developing all-solid-state devices for complete characterization of few-cycle pulses, including their nonlinear chirp and the carrier envelope phase.
Keywords
Ultrafast Dynamic Decoding, Quantum Systems, Strong Laser Fields, Nonlinear Optical Response, Ultrashort Laser Pulses, Attosecond Spectroscopy
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Article
Nikolai Klimkin
Moscow State University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6576-3602
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 30 Nov, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Photonics/optics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Neural networks are a prominent tool for identifying and modeling complex patterns, which are otherwise hard to detect and analyse. While machine learning and neural networks have been finding applications across many areas of science and technology, their use in decoding ultrafast dynamics of quantum systems driven by strong laser fields has been limited so far. Here we use deep neural networks to analyze spectra of highly nonlinear optical response of a crystal to intense few-cycle laser pulses. We construct a deep neural network that can efficiently utilize such spectra to resolve both the complex spectral phase of ultrashort laser pulses and simultaneously reconstruct the band structure of the crystal. Our results offer a new tool for attosecond spectroscopy of quantum dynamics and also open a route to developing all-solid-state devices for complete characterization of few-cycle pulses, including their nonlinear chirp and the carrier envelope phase.
Figure 1
Figure 2
Figure 3
Figure 4
There is NO Competing Interest.
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