YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

QAOA + ZNE + DD demo (Qiskit, 6 qubits)

Compact, reproducible Qiskit 2.x demo of zero-noise extrapolation (ZNE) and dynamical decoupling (DD) applied to a depth-1 QAOA for MaxCut on a 6-vertex ring graph. Compares ideal Aer, noisy Aer (FakeJakartaV2 NoiseModel), noisy + DD (XY4), and noisy + digital-folding ZNE (linear & exponential) using the patterns from the current Qiskit documentation.

See REPORT.md for the full write-up, plots, and hardware-run plan.

Run

pip install "qiskit~=2.4" qiskit-aer "qiskit-ibm-runtime~=0.46" matplotlib scipy
python qaoa_zne_dd.py        # Aer simulations + artifacts/
python run_on_ibm.py         # dry-run; prints IBM Quantum plan
python run_on_ibm.py --submit  # actually queue IBM Quantum job (needs creds)

No secrets are committed. IBM credentials are read from QiskitRuntimeService (env vars or ~/.qiskit/qiskit-ibm.json).

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support