R
R. Krishna Mohan
Researcher at Montana State University
Publications - 42
Citations - 665
R. Krishna Mohan is an academic researcher from Montana State University. The author has contributed to research in topics: Signal processing & Holography. The author has an hindex of 13, co-authored 40 publications receiving 625 citations.
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Quantum computer hardware based on rare-earth-ion-doped inorganic crystals
TL;DR: In this paper, a scheme for generating multiple strongly interacting qubits in rare-earth ion-doped inorganic crystals at cryogenic temperatures is presented, based on existing material data and established measurement techniques and should therefore be straightforward to realise in practice.
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Multi-Gigahertz radar range processing of baseband and RF carrier modulated signals in Tm:YAG
TL;DR: In this article, a spatial-spectral holographic material is used to perform coherent signal processing operations on analog, highbandwidth optical signals with large time-bandwidth products, where multiple exposures of processing pulse sequences are integrated with increasing grating strength.
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Coherent Integration of 0.5 GHz Spectral Holograms at 1536 Nm Using Dynamic Biphase Codes
Z. Cole,Thomas Böttger,R. Krishna Mohan,Randy R. Reibel,Wm. Randall Babbitt,Rufus L. Cone,Kristian D. Merkel +6 more
TL;DR: In this article, a spectral hole-burning-based optical processing device is proposed for coherent integration of multiple high-bandwidth interference patterns in the Er3+:Y2SiO5 at 4.2 K with commercial off-the-shelf components.
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Spectral Engineering of Slow Light, Cavity Line Narrowing, and Pulse Compression
TL;DR: More than 4 orders of magnitude of cavity-linewidth narrowing in a rare-earth-ion-doped crystal cavity, emanating from strong intracavity dispersion caused by off-resonant interaction with dopant ions, is demonstrated.
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Recovery of spectral features readout with frequency-chirped laser fields.
Tiejun Chang,Mingzhen Tian,R. Krishna Mohan,Christoffer J. Renner,Kristian D. Merkel,W. Randall Babbitt +5 more
TL;DR: A data-processing technique is proposed for use with conventional frequency-chirped absorption spectroscopy to ensure accurate mapping of spectral features into time-domain signatures with arbitrarily fast readout chirp rates.