Repository of the package Fast Wave
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Updated
Nov 18, 2024 - Mathematica
Repository of the package Fast Wave
RCWA Solver
My personal quantum paper library
[Long Term Support] [SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference
3D Plane Wave Expansion
Linear Optical Circuits Optimisation using Perceval Quandela and Variational Algorithm (VQE)- MIT iQuHack- Quantum Computing Project
[SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference
Dual adaptive training of photonic neural networks
This is a transaction-level, event-driven python-based simulator for evaluation of stochastic computing based optical neural network accelerators for various quantized Convolutional Neural Network models. This can generate metrics of an accelerator like latency, area, energy consumption and power
ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
Optical Transfer Learning
Automated Probe Station for testing Photonic Integrated Circuits
Simple optical neural network training/converting experiments based on numpy API
3electron Quantum Operators in Eigenspectral basis
A MZI mesh with reconfigurable phase shifters can can have numerous combinations of the phase shifters' phases for the same set of input and outputs. A python code for a 4X4 MZI mesh returning the minimum cost path for a given input and output combination.
Implementation of a compact optical neural network SqueezeLight based on multi-operand micro-rings, DATE 2021
OPICS : An S-parameter based photonic circuit simulator
Double Trouble in the Double Descent Curve with Optical Processing Units.
Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)
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