ℹ️ NOTE: An IonQ API token is required!
Please reach out to sales@ionq.com to request access, or provision access directly via Google Cloud.
First, make sure you follow the Qiskit installation steps for your OS first, found here.
Also, make sure your python interpreter / environment has the qiskit-ionq provider installed, e.g. using: pip install qiskit-ionq.
| Notebook | Description |
|---|---|
| bv/bernstein-vazirani-3q.ipynb | A three-qubit Bernstein-Vazirani example |
| bell-cat-states.ipynb | Creates Bell and Cat states |
| deutsch-jozsa.ipynb | Performs the Deutsch-Jozsa algorithm |
| rabi-flopping.ipynb | Simulates Rabi flopping |
| circuit-training.ipynb | Demonstrates Data-driven quantum circuit learning |
| entangling-gates.ipynb | Demonstrates entangling gates |
| qft-adder.ipynb | Implements a QFT adder |
| ipea/iterative-phase-estimation-algorithm.ipynb | Demonstrates the quantum iterative phase estimation algorithm |
| vqe/noisy-vqe.ipynb | Demonstrates the impact of noise on the simulation of H2 via a variational quantum eigensolver |