Defending crosstalk-mediated quantum attacks using dynamical decoupling

This repository contains a quantum experiment simulation using Qiskit on IBM Quantum backend. The script initializes a quantum environment, loads experiment configurations as the choice of the user, and runs various attack scenarios to analyze fidelities. For more details regarding the experiment, refer to Defending crosstalk-mediated quantum attacks using dynamical decoupling.

Requirements

Ensure you have the following installed:

• Python 3.8+
• Qiskit
• Qiskit IBM Runtime
• NumPy
• Matplotlib
• Jupyter Notebook

You can install the dependencies using:

pip install qiskit qiskit-ibm-runtime numpy matplotlib jupyter

Setup

1. Clone this repository:

   git clone https://github.com/yourusername/quantum-experiment.git
   cd quantum-experiment

2. Configure your IBM Quantum account:

   from qiskit_ibm_runtime import QiskitRuntimeService
   QiskitRuntimeService.save_account(channel="ibm_quantum", token="YOUR_IBM_TOKEN", overwrite=True, set_as_default=True)

3. Ensure the config.json file exists. If missing, the script will generate a default one that needs to be updated.

Usage

Use the jupyter notebook:

TestCircuitQualityDegradation.ipynb

The script will prompt you to choose different attack scenarios. Enter Yes or No accordingly.

Output

• The experiment results (fidelities) are plotted using Matplotlib.
• Results are stored in JSON files:
  • ExperimentResult_Count.json (circuit counts)
  • ExperimentResult_Fidelities.json (fidelity values)

File Structure

.
├── TestCircuitQualityDegradation.ipynb  # Main interface which helps in executing the menu for selecting required scenarios
├── config.json    # Configuration file (create/update before running the code)
├── ExperimentClass.py  # Experiment class implementation with code of all the scenarios

Contributing

Feel free to open an issue or submit a pull request to improve the experiment! 🚀

For queries, contact: devikamhr5@gmail.com