QuTiP: Quantum Toolbox in Python
- Updated
May 2, 2025 - Python
QuTiP: Quantum Toolbox in Python
Extensible, Efficient Quantum Algorithm Design for Humans.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Machine learning algorithms for many-body quantum systems
Python library for quantum circuit rewriting and optimisation using the ZX-calculus
Repository containing monthly challenges in the field of quantum computing.
|toqito> (Theory of Quantum Information Toolkit) is a Python library for research in quantum information theory.
Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.
This is the repository for https://quantumalgorithms.org
KLayout Python library for integrated quantum circuit design.
Digital-analog quantum programming interface
measurement-based quantum computing (MBQC) compiler and simulator
FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers.
Quantum-enhanced workflow scheduling optimizes multi-processor resource allocation using DAGs and a hybrid quantum-classical approach, visualized via advanced tools. QUBO problem formulation ensures efficiency.
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