Python based continuous adjoint optimization wrapper for Lumerical

Python API for Ansys Lumerical

Textbook: Lukas Chrostowski, Michael Hochberg, "Silicon Photonics Design", Cambridge University Press 2015

Tensor computing core

A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.

Gradient-descent quantum process tomography by learning Kraus operators

Code for the LDPC-cat qubit architecture presented in the article 'LDPC-cat codes for low-overhead quantum computing in 2D'

Code for the Unfolded distillation protocol presented in the article 'Unfolded distillation: very low-cost magic state preparation for biased-noise qubits'

Provably optimal exact gate synthesis from a discrete gate set

Computation of ressources required for elliptic curve discrete logarithm computation with cat qubits.

Codes related to the article on factorization with a memory

Installation, scripting, & data generation demo of GPU-accelerated computational micro and nanomagnetism in MuMax3. Formed & written by Onri Jay Benally, an Indigenous American quantum hardware eng…

Quantum Hardware Design. Open-source project for engineers and scientists to design superconducting quantum devices with ease.

55nm CMOS Open Source PDK by ICsprout Integrated Circuit Co., Ltd.

Repository for the AAAI 2022 paper: Directed Graph Auto-Encoders

MiFGD

Apple Airport Extreme Broadcom BCM94360CS, BCM94360CS2, BCM94360CSAX AC Wireless Card Windows 7-10 Drivers

Microsoft BASIC for 6502 Microprocessor - Version 1.1

Synology Smart Info (A package that checks disk S.M.A.R.T information based on a web UI)

Supporting Materials for "Are screening methods useful in feature selection? An empirical study", PloS one, 14(9).

An implementation of the Feature Selection with Annealing method from: Barbu et al. Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE PAMI, 39, No. 2, 272–286, 2017 h…

Code for our paper PCA-UNet for Object Segmentation

Semi-supervised Few Shot Incremental Learning

Online Supervised Learning with Feature Selection

Code for our paper Feature Selection for Latent Factor Models. CVPR, 2025