Publications by authors named "Akhil Varri"
Biological neural networks effortlessly tackle complex computational problems and excel at predicting outcomes from noisy, incomplete data. Artificial neural networks (ANNs), inspired by these biological counterparts, have emerged as powerful tools for deciphering intricate data patterns and making predictions. However, conventional ANNs can be viewed as "point estimates" that do not capture the uncertainty of prediction, which is an inherently probabilistic process.
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- - An on-chip asymmetric directional coupler (DC) is crucial for converting fundamental modes into higher-order modes in mode-division multiplexing (MDM) technology.
- - The study introduces a method using silicon ion implantation to adjust the effective refractive index of waveguides, achieving significant transmission changes up to 18 dB with just one implantation step.
- - This innovative tuning technique allows for greater control over mode transmission and may enhance the efficiency and effectiveness of mode converters in integrated photonic systems, potentially benefiting emerging photonic neuromorphic computing applications.
Article Synopsis
- Photonic integrated circuits (PICs) are transforming information tech by offering faster and more efficient data processing and communication, but creating them at a nanoscale precision is tricky due to the need for precise adjustments.
- This research explores using automated silicon ion implantation to achieve scalable and stable photonic computational memories, allowing for fine-tuning of components with minimal loss.
- The study showcases spectrally aligned photonic memory and computing systems that enable large-scale matrix multiplication, supporting advanced integrated architectures that can work with multiple wavelengths.
In this study, Ferrites (FeO, MnFeO, ZnFeO) and different stoichiometric ratios of ZnMnFeO (x = 0.2, 0.4, 0.
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