Rigetti Computing has released a new version of Forest, their quantum software platform. Forest 1.3 offers upgraded developer tools, improved stability, and faster execution.
Starting today, researchers using Forest will be upgraded to version 1.3, which provides better tools for optimizing and debugging quantum programs. The upgrade also provides greater stability in our quantum processor (QPU), which will let researchers run more powerful quantum programs. Forest is the easiest and most powerful way to build quantum applications today. We believe the combination of one of the most powerful gate-model quantum computers, cutting-edge classical hardware, and our unique hybrid classical/quantum architecture creates the clearest and shortest path toward the demonstration of unequivocal quantum advantage.
Back in December, the team at Rigetti became the first to solve an unsupervised machine learning problem on a gate model quantum computer. They did this by connecting one of their superconducting quantum processors, a 19-qubit system, to Forest. In the ten weeks since then, researchers have already used Forest to train neural networks, program benchmarking games, and simulate nuclear physics.
Forest is the easiest and most powerful way to build quantum applications today. We believe the combination of one of the most powerful gate-model quantum computers, cutting-edge classical hardware, and our unique hybrid classical/quantum architecture creates the clearest and shortest path toward the demonstration of unequivocal quantum advantage. Ultimately, it will be you — the broader Forest community — who clears that path.
In this video, Will Zeng from Rigetti Computing demonstrates the Forest Quantum Software Platform.
