Grid-based approximation of partial differential equations in Julia

Code for the paper "Magic state cultivation: growing T states as cheap as CNOT gates"

Solve puzzles. Learn CUDA.

MLIR For Beginners tutorial

Solve puzzles. Improve your pytorch.

Synthesizing arbitrary quantum computations

Qclib is a quantum computing library implemented using qiskit. The focus of qclib is on preparing quantum states, but it is not limited to that.

Lazy arrays and linear algebra in Julia

Tensor networks for quantum error correction.

LLM101n: Let's build a Storyteller

Quantum Gates: Notes on quantum gates and the circuit model of quantum computation

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Finite element toolbox for Julia

Full-stack quantum processing toolkit

A deep dive into embeddings starting from fundamentals

LLM training in simple, raw C/CUDA

A collection of learning resources for curious software engineers

Modern C++ quantum computing library

Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

Data-Informed Behavioural Segmentation // Machine learning library for accurate & consistent behavioural segmentation utilizing DLC as a backbone