PennyLane
A cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
Learn MoreRunning on Rigetti
Explore our rapidly growing library of platforms, tools, and applications powered by Rigetti systems.
Azure Quantum
MicrosoftRun your code on Rigetti systems available today through Azure Quantum. Azure Quantum brings together the most innovative quantum computing technologies into a single cloud service. Get started today and take advantage of $500 in free credit for Rigetti hardware or apply for a larger $10,000 Azure Quantum Credit grant.
Get StartedOpenQEMIST
Accurately calculate molecular properties by leveraging the power of quantum computing in conjunction with advanced problem decomposition techniques.
Learn MoreQCompress
Compress quantum data to boost the optimization of variational quantum algorithms.
Learn MoreQuantum Programming Studio
Design and execute quantum algorithms on simulators or real quantum computers.
Learn MoreQuantumComputing.com
Enables multiple languages to be compiled to multiple backends.
Learn MoreEntropicaQAOA
A modular package for the quantum approximate optimisation algorithm (QAOA) built on top of Rigetti’s Forest SDK.
Learn MoreQuantumFreeze
Explore how quantum superposition can help solve the levels of this educational game while constructing a circuit to run on a Rigetti quantum computer.
Learn MoreQuilc
An open-source, optimizing compiler for gate-based quantum programs written in Quil or QASM.
Learn MoreBOULDER OPAL
An advanced Python-based toolkit for R&D teams to develop and deploy quantum control in their hardware or theoretical research.
Learn Moret|ket>
A compiler that works with multiple backends like Rigetti.
Learn MoreForge
Run problems on an array of quantum computing hardware platforms and simulators with access to algorithms for binary optimization, chemistry simulation and machine learning.
Learn MoreQuantum Code Chemistry
An end-to-end stack that compiles and executes quantum chemistry algorithms for NISQ devices.
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