Rigetti Computing Introduces
An API for quantum computing in the cloud
Forest is a suite of tools for experimental quantum programming
Forest provides development access to our 30-qubit simulator the Quantum Virtual Machine ™
and limited access to our quantum hardware systems for select partners.
Quil is an open quantum instruction language based on a shared classical/quantum memory model. Quil has been designed specifically for near-term quantum computers, while remaining expressive enough for general development.
pyQuil is an open-source Python library for constructing, analyzing, and running quantum programs. It is built on top of Quil, and integrates with Rigetti’s Forest API for quantum computation in the cloud.
from pyquil.quil import Program from pyquil.gates import H, CNOT import pyquil.forest as forest # construct a Bell State program p = Program() p.inst(H(0)) p.inst(CNOT(0, 1)) # run the program on a QVM qvm = forest.Connection() result = qvm.wavefunction(p) print result
Grove is a repository to showcase quantum programs developed using Forest. It includes the quantum Fourier transform, phase estimation, the quantum approximate optimization algorithm, and others.
The quantum approximate optimization algorithm is a great example of a classical/quantum hybrid algorithm that does combinatorial optimization. Included in Grove is an implementation of this algorithm using Forest.
Race against a quantum algorithm
Play a simple game that demonstrates a practical hybrid classical/quantum optimization algorithm using Rigetti's computing stack.
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