MarkCodering/miti-learn

Miti-learn - Machine Learning for Quantum Error Mitigation

Miti-learn is a Python package for machine learning based quantum error mitigation. It is designed to be a flexible and user-friendly tool for researchers and practitioners to develop and apply machine learning models for quantum error mitigation.

Authors

Mark Chen - Quantum Machine Learning Researcher

Installation

To install the package, you can use pip:

pip install miti-learn

Usage

The package provides a high-level API for training and applying machine learning models for quantum error mitigation. The following example demonstrates how to use the package to train a machine learning model for quantum error mitigation and apply it to mitigate errors in a quantum circuit.

import miti_learn as miti

mitigator = miti.MitiLearn()
model = mitigator.load_model(num_qubits=5, model_type='linear')

mitigated_circuit = mitigator.apply_model(model, noisy_circuit)

Contributing

We welcome contributions from the community. If you would like to contribute to the project, please refer to the contributing guidelines.