My personal quantum paper library
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Updated
Feb 21, 2025 - Python
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
Python library for running large-scale computations on LightOn's OPUs
ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
Code to perform Model-Free Episodic Control using Aurora OPUs
Double Trouble in the Double Descent Curve with Optical Processing Units.
Repository of the package Fast Wave
Implementation of a compact optical neural network SqueezeLight based on multi-operand micro-rings, DATE 2021
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
Linear Optical Circuits Optimisation using Perceval Quandela and Variational Algorithm (VQE)- MIT iQuHack- Quantum Computing Project
OPICS : An S-parameter based photonic circuit simulator
Photonic-inspired reservoir computing for signal classification
Automated Probe Station for testing Photonic Integrated Circuits
This is a simulation of the HOM Effect done using Strawberry Fields
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