Search Packages

qutip

QuTiP: Quantum Toolbox in Python

qiskit-ionq

Qiskit provider for IonQ backends

pyzx

Python library for quantum circuit rewriting and optimisation using the ZX-calculus

cuda-quantum-cu13

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

pulser-core

Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.

cudaq

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

pulser

Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.

pulser-simulation

Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.

netket

Machine learning algorithms for many-body quantum systems

cuda-quantum-cu12

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

graphix

Optimize and simulate measurement-based quantum computation

toqito

Python tools for the study of quantum information.

flamingpy

FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers.

cuda-quantum-cu11

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

qustop

Python toolkit for studying quantum state optimization problems

yao-framework

Extensible, Efficient Quantum Algorithm Design for Humans.