Search Results - "Gewers, Felipe"

Noise analysis of a quasi-phase-matched quantum frequency converter and higher-order counter-propagating SPDC by Mann, Felix, Chrzanowski, Helen M., Gewers, Felipe, Placke, Marlon, Ramelow, Sven

“…Quantum frequency conversion (QFC) will be an indispensable ingredient in future quantum technologies. For example, large-scale fibre-based quantum networks…”
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A monolithic bulk ppKTP cavity for quantum frequency conversion from 637 nm to telecom wavelength by Mann, Felix, Gewers, Felipe, Chrzanowski, Helen M., Ramelow, Sven

“…We demonstrate an efficient low-noise quantum frequency converter based on a thermally self-stabilizing monolithic bulk ppKTP cavity for the conversion of…”
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Noise analysis of a quasi-phase-matched quantum frequency converter and higher-order counter-propagating SPDC by Mann, Felix, Chrzanowski, Helen M, Gewers, Felipe, Placke, Marlon, Ramelow, Sven

“…Quantum frequency conversion (QFC) will be an indispensable ingredient in future quantum technologies. For example, large-scale fibre-based quantum networks…”
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Low-noise quantum frequency conversion in a monolithic cavity with bulk periodically poled potassium titanyl phosphate by Mann, Felix, Chrzanowski, Helen M, Gewers, Felipe, Placke, Marlon, Ramelow, Sven

“…Interfacing the different building blocks of a future large scale quantum network will demand efficient and noiseless frequency conversion of quantum light…”
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Numerical Frequency Transfer Function Analysis of a Leaky Integrate-and-Fire Neuron by Gewers, Felipe L, Costa, Luciano da F

“…This work reports a transfer function-based approach to characterizing the operation of single neuronal cells in terms of the instantaneous frequency of the…”
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Principal Component Analysis: A Natural Approach to Data Exploration by Gewers, Felipe L, Ferreira, Gustavo R, de Arruda, Henrique F, Silva, Filipi N, Comin, Cesar H, Amancio, Diego R, Costa, Luciano da F

“…ACM Computing Surveys (CSUR), 54(4), pp.1-34 (2021) Principal component analysis (PCA) is often used for analyzing data in the most diverse areas. In this…”
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