Learn FOREST-SDK with Real Code Examples

Quantum algorithm consulting using Forest/Aspen hardware

Hybrid algorithm development for optimization problems

Teaching quantum programming with pyQuil and Quil

Research partnerships using Rigetti QPUs via QCS

Benchmarking service for quantum hardware or algorithms

Improved noise modeling and error mitigation in QVM / QPU

More tight integration with hybrid ML frameworks

Better compiler optimization in quilc

Expanded access to more Rigetti QPUs via QCS

Community tools for benchmarking and algorithm sharing

If you don’t have access to Rigetti’s QCS and need only hardware‑agnostic tools

For very large-scale simulation - classical simulators might be more efficient elsewhere

If you want a higher-level quantum ML framework solely (unless using PennyLane plugin)

If you prefer to work with non‑Quil instruction sets / SDKs

When you don’t need to compile or optimize for Rigetti’s architecture specifically

Forest SDK is Rigetti’s full-stack quantum software toolkit based on Quil, offering simulation (QVM), compilation (quilc), and cloud access to hardware (QPU via QCS).

It’s designed for hybrid classical–quantum workflows and supports parametric circuits.

With pyQuil, you can write quantum programs in Python; with quilc, you optimize for hardware.

The QVM allows local development; QCS gives access to real Rigetti quantum processors.

It’s well-suited for research, teaching, and prototyping quantum algorithms targeting Rigetti’s architecture.

Is the Forest SDK free to use?

Parts (like pyQuil and QVM) are open-source; access to QPUs via QCS may have restrictions or costs. :contentReference[oaicite:9]{index=9}

Which hardware does Forest support?

Primarily Rigetti’s QPUs via Quantum Cloud Services. :contentReference[oaicite:10]{index=10}

Can I simulate quantum circuits without hardware?

Yes - using the QVM included in the Forest SDK. :contentReference[oaicite:11]{index=11}

Does Forest support hybrid quantum‑classical algorithms?

Yes - using pyQuil and classical optimizers you can build variational algorithms.

How do I compile Quil programs for Rigetti hardware?

Use the quilc compiler to optimize Quil before executing on QVM or QPU.