Forest SDK Deutsch-Jozsa Algorithm Example - Forest-sdk Typing CST Test
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Forest SDK Deutsch-Jozsa Algorithm Example — Forest-sdk Code
Implementing Deutsch-Jozsa algorithm for 2 qubits.
from pyquil import Program, get_qc
from pyquil.gates import H, CNOT, MEASURE
p = Program()
ro = p.declare('ro','BIT',1)
p += H(0)
p += H(1)
p += CNOT(0,1)
p += H(0)
p += MEASURE(0, ro[0])
qc = get_qc('2q-qvm')
result = qc.run(p)
print('Deutsch-Jozsa result:', result)Forest-sdk Language Guide
Forest SDK is Rigetti’s quantum software development kit that enables writing, simulating, compiling, and executing quantum programs using the Quil instruction language.
Primary Use Cases
- ▸Constructing quantum programs using Quil via Python (pyQuil)
- ▸Simulating quantum circuits using the QVM (Quantum Virtual Machine)
- ▸Compiling Quil programs for different architectures with quilc
- ▸Running quantum programs on Rigetti QPUs through QCS
- ▸Developing hybrid algorithms (quantum + classical) for optimization, chemistry, or machine learning
Notable Features
- ▸pyQuil Python API for quantum programming
- ▸Quil compiler (quilc) for optimizing Quil to target machines
- ▸Quantum Virtual Machine (QVM) for simulation
- ▸Integration with Rigetti’s Quantum Cloud Services (QCS)
- ▸Support for parametric (gate-parameterized) quantum programs
Origin & Creator
Forest SDK is developed by Rigetti Computing as part of their full-stack quantum computing platform. Forest 1.0 was publicly announced by Rigetti. :contentReference[oaicite:0]{index=0}
Industrial Note
Forest SDK is used in research on hybrid quantum‑classical algorithms, variational optimization, and benchmarking on Rigetti’s superconducting qubit hardware, as well as in teaching quantum programming.
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