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

Double Descent Curve with Optical Random Features

Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)

Photonics Guide

[SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference

Code to perform Model-Free Episodic Control using Aurora OPUs

Optical Transfer Learning

Dual adaptive training of photonic neural networks

RCWA Solver

PRISM: O(1) Photonic Block Selection for Long-Context LLM Inference — eliminates the O(N) KV cache scan via photonic broadcast-and-weight similarity engine on TFLN

Double Trouble in the Double Descent Curve with Optical Processing Units.

Linear Optical Circuits Optimisation using Perceval Quandela and Variational Algorithm (VQE)- MIT iQuHack- Quantum Computing Project

OPICS : An S-parameter based photonic circuit simulator

Matlab simulation for an high-order all-optical differential equation solver based on microring resonators

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

Implementation of a compact optical neural network SqueezeLight based on multi-operand micro-rings, DATE 2021

[Long Term Support] [SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference

LAGC is a CPU-optimized Python library for quantum photonics. It features a Loss-Aware Graph Compiler for large-scale MBQC. Using XOR-based graph surgery and recursive tensor slicing, LAGC bypasses GPU VRAM limits to simulate thousands of qubits on standard RAM. Perfect for photon loss recovery and high-fidelity circuit verification at scale.