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Hierarchical Unified Graph Representation for quantum and classical programs
Code to benchmark quantum machine learning models
Quantum Device Management Interface (QDMI)
Qrisp - a framework for high-level programming of Quantum computers
AutoQASM is an experimental module offering a quantum-imperative programming experience in Python for developing quantum programs.
A Sphinx extension that builds galleries from any set of myst-style markdown/notebook or rst files.
The PennyLane-Qrack plugin integrates the Qrack quantum computing framework with PennyLane's quantum machine learning capabilities.
A dynamically executed quantum-classical hybrid runtime.
"Hybrid quantum programming with PennyLane Lightning on HPC platforms" accompanying data and workloads
A tool for source-to-source transformations and operator overloading in Python
Google Summer of Code (GSOC) Machine Learning for Science (ML4SCI) Quantum Machine Learning for High Energy Physics (HEP)
A collection of distributed algorithms for the full-state simulation of digital quantum statevectors and density matrices
Quantum algorithm design is hard. Express your feelings through quantum circuits with Gatemojis™
Transpile and optimize PennyLane circuits into trapped-ion gates.
A JIT compiler for hybrid quantum programs in PennyLane
Command line tools for working with MyST Markdown.
Litrepl is a command-line tool and a Vim plugin for code snippet evaluation
Sphinx theme for PennyLaneAI repositories
Gradient-descent quantum process tomography by learning Kraus operators
Resumes generated using the GitHub informations
FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers.
GPU enabled Lightning simulator for accelerated circuit simulation. See https://github.com/PennyLaneAI/pennylane-lightning for all future development of this project.
A clean customizable documentation theme for Sphinx
An API to make quantum circuits accessible for cold atom backends
This repository contains the code used to produce the data and figures in our paper on general parameter shift rules for quantum gradients
The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane.
A differentiable bridge between phase space and Fock space