Popular GitHub Repositories for Clifford Circuits

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

Simulating quantum circuits with JAX

Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.

A self-supervised CNN for image watermark removal (IEEE Transactions on Circuits and Systems for Video 2024)

Python package for Geometric / Clifford Algebra with TensorFlow

How to Turn Your Knowledge Graph Embeddings into Generative Models

Generate hierarchical quantum circuits for Neural Architecture Search.

A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

Clifford-Steerable Convolutional Neural Networks [ICML'24]

Generative Quantum Circuits

Quantum error correction code AI-discovery with Jax

Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-training, alignment), test-time computation, reasoning, safety and robustness (jailbreaking, oversight, uncertainty), representations, interpretability (circuits), etc.

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020

Code repo for paper: ICML 2020 paper Natural lottery ticket winner: RL for ordinary neural circuits

Flexible Learning-Free Reconstruction of Neural Circuits