• Home
  • Overview
  • Sponsor & Roadmap
  • Documentation
  • Publications
  • Showcase
  • Community
  • Get Started
Get Started
  • Showcase
    • OpenVQA Hub Community
    • Mastering Quantum Chemistry with OpenVQE - A Community-Driven Guide to Quantum Computing
    • Quantum and the Future of Computing Summit
    • Quantum Computing for Quantum Chemistry A Review of UCC Methods and Adapt-VQE Algorithms
    • Vietnam School of Artificial Intelligence and Quantum Computing
    • SUMMER SCHOOL - QUANTUM, FROM THE LAB TO NEW TECHNOLOGIES
    • Opensource VQE extension of QLM
    • Quantum Innovation Summit
  • Published Announcements
    • Release second version of OpenVQE package
    • The Journal of Physical Chemistry A, 2023, Vol 127/Issue 15, 3543–3550
    • WIREs Computational Molecular ScienceVolume 13, Issue 5 e1664
  • Documentation
    • Getting Started
      • Installation
      • Next
    • Quantum Program
      • Package Structure
      • Citing
      • A - OpenVQE Notebooks
        • 1- Circuit-based quantum programming
        • 2- MyQLM-Fermion
        • 2a-Observables
        • 3- OpenVQE Overall
        • 4- Adapt-VQE
        • 5- Parameter-Shift Rule
        • 6- SSVQE
        • 7- USCC
      • B - Applications
        • 9 - Lithium-ion batteries application
        • 10 - Maxcut by Quantum annealing
        • 11 - Quantum Cryptography
        • 12 - Quantitative Finance
        • 13 - Classical Machine Learning Tutorial 1
  • OpenVQA Community
  • Overview
  • Sponsorship and Roadmap
  • Still need help?
  • Community
  • Getting Started
  • Quantum Program
    • Package Structure
    • Citing
    • A - OpenVQE Notebooks
      • 1- Circuit-based quantum programming
      • 2- MyQLM-Fermion
      • 2a-Observables
      • 3- OpenVQE Overall
      • 4- Adapt-VQE
      • 5- Parameter-Shift Rule
      • 6- SSVQE
      • 7- USCC
    • B - Applications
      • 9 - Lithium-ion batteries application
      • 10 - Maxcut by Quantum annealing
      • 11 - Quantum Cryptography
      • 12 - Quantitative Finance
      • 13 - Classical Machine Learning Tutorial 1
  • Still need help?
  • Community

On this page

  • Installation
  • Configure the QLM environment
  • Cloning the OpenVQE package
  • Next
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Documentation
Getting Started

Getting Started

Installation

Configure the QLM environment

Install myqlm-fermion 1.7.1 from source:

Cloning the OpenVQE package

Install OpenVQE from source

Next

Let’s discover OpenVQE package

Project Structure Citation

© 2025 OpenVQE was created by Mohammad Haidar. It is licensed under the terms of the MIT License

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