ℹ️ NOTE: An IonQ API token is required!
Please reach out to [email protected] 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 |