Stars
Code accompanying the preprint "Unitary synthesis with optimal brick wall circuits". Contains conjectured-to-be universal brick wall circuits, numerical tools for testing this conjecture, and progr…
High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).
In this repository, scripts are collected that are used to detect different genetic variations (GV) in DNA-seq ata sets.
A markup-based typesetting system that is powerful and easy to learn.
🎨 Generate and change color-schemes on the fly.
Extensive vimrc with super easy install and everything in the vimrc is explained!
A High-Level Abstraction Framework for Quantum Algorithms
LaTeX template class for Quantum - the open journal for quantum science
johannesjmeyer / pennylane
Forked from PennyLaneAI/pennylanePennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Source code for the Scientific Conduct website
Variational Quantum Circuit Simulator for Quantum Computation Research
The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have differ…
Contains the PennyLane ProjectQ plugin. This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.
ProjectQ: An open source software framework for quantum computing
Simplified wrapper for the no longer updated library at https://code.google.com/p/python-progressbar/
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Machine learning algorithms for many-body quantum systems
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.