photonic-computing

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

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

Optical Transfer Learning

Photonics Guide

ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.

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

Compiler for ManiT, a systems language whose native number system is balanced ternary (−1, 0, +1). Two backends: LLVM for native execution today, and T3ISA — a ternary instruction set with assembler and cycle-accurate emulator included.

Code to perform Model-Free Episodic Control using Aurora OPUs

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

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

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

RCWA Solver

Dual adaptive training of photonic neural networks

An FDFD electromagnetic mode solver for rasterized waveguide cross sections made to be a standard plugin for FDTD engines.

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

An HDL for clockless, reversible computing.