Quantum Computing with ATOS QLM

This repository contains code and experiments developed for the ATOS Quantum Learning Machine (QLM) using Python and the myQLM software stack by Eviden. The goal is to explore and simulate quantum algorithms in a versatile and hardware-agnostic environment.

Overview

myQLM is a full-featured quantum software development kit that allows users to:

• Write quantum programs using gate-based, analog, or quantum annealing paradigms
• Simulate and optimize circuits on classical hardware
• Execute programs on real quantum processors (via QPU interfaces)
• Use advanced tools tailored for NISQ devices, such as VQE, QAOA, and more

This repository serves as a sandbox for building, testing, and running quantum algorithms designed for the QLM platform.

Repository Structure

The repository is structured as follows:

├── algorithms/ # Quantum algorithms (e.g., VQE, QAOA, Grover's)
├── circuits/ # Custom and textbook quantum circuits
├── simulators/ # Tools and scripts for simulation backends
├── qpu_interface/ # Scripts for connecting with actual quantum hardware
├── utils/ # Helper functions and utilities
└── README.md # Project documentation

Getting Started

Prerequisites

• Python 3.8+
• myQLM (installed locally or on the ATOS QLM)

Installation

To get started with this repository, follow these steps:

1. Clone the repository:

   git clone https://github.com/your-username/qlm-project.git
   cd qlm-project
   

2. Install the dependencies: pip install -r requirements.txt

3. [Optional] Set up myQLM: Refer to the official installation guide for detailed instructions on installing and configuring myQLM.

Connecting to a Quantum Processor

This repository contains templates for connecting to Quantum Processing Units (QPUs) via myQLM's extensible plugin system. To connect to a QPU, you will need:

• Access credentials from a quantum provider (e.g., ATOS, IBM, etc.)

• The correct configuration for connecting to the QPU

Refer to the qpu_interface/ directory for specific setup instructions and code examples.

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

Contributing

Contributions are welcome! If you encounter bugs or have ideas for improvements, feel free to open an issue or submit a pull request.

Acknowledgements

• Thanks to Eviden for developing the myQLM software stack.

• Special thanks to the open-source community for contributing to quantum software advancements.