My personal quantum paper library
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Updated
Jun 26, 2024
My personal quantum paper library
Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch
[SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference
Python library for running large-scale computations on LightOn's OPUs
Double Descent Curve with Optical Random Features
Optical Transfer Learning
ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)
Code to perform Model-Free Episodic Control using Aurora OPUs
Double Trouble in the Double Descent Curve with Optical Processing Units.
Dual adaptive training of photonic neural networks
Implementation of a compact optical neural network SqueezeLight based on multi-operand micro-rings, DATE 2021
RCWA Solver
Linear Optical Circuits Optimisation using Perceval Quandela and Variational Algorithm (VQE)- MIT iQuHack- Quantum Computing Project
[Actively Maintained] [SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference
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
OPICS : An S-parameter based photonic circuit simulator
3D Plane Wave Expansion
Automated Probe Station for testing Photonic Integrated Circuits
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