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@TNO-Quantum

TNO - Quantum

TNO Quantum

TNO Quantum is dedicated to developing reusable software components for applying current and near-term quantum technology. Our code base is use-case driven and contains fully-functional, self-contained software components, which can be used as building blocks to enable further development of quantum applications. Currently, the focus of TNO Quantum is on secure communication, optimization, simulation, and machine learning.

About TNO

TNO, the Netherlands Organisation for Applied Scientific Research, is an independent research organisation that aims for a safer, healthier, and more sustainable life. As an independent research organisation, we are the driving force behind innovation. We make knowledge serve the common good.

We focus on contributing to solutions for the following four societal challenges:

  1. Safe and secure society
  2. Healthy society
  3. Sustainable society
  4. Digital society

TNO Quantum contributes to the Digital society and Safe and secure society challenges. More information about our mission and strategy can be found on our website. See also our blog posts:

  1. Quantum computing: how can it serve your organisation?
  2. Cyber security through quantum-safe crypto

Open Source

Our open-source software packages can be found on GitHub and PyPi. The commonly used license for TNO Quantum is the Apache License, Version 2.0. This allows for easy adoption and flexible usage without enforcing a specific license to (end-)users and contributors of the codebase. We are always open to questions about, suggestions for, and contributions to our codebase.

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  1. ml.classifiers.vc ml.classifiers.vc Public

    Scikit-learn compliant Variational Quantum Classifier

    Python 5 1

  2. communication.qkd_key_rate communication.qkd_key_rate Public

    Python code to compute optimal protocol parameters for different QKD protocols.

    Python 9 2

  3. qscore qscore Public

    Python code to run the Q-score (Max-Cut and Max-Clique) benchmark on various backends

    Python 2 1

  4. examples examples Public

    Toolbox examples

    2 1

  5. problems.portfolio_optimization problems.portfolio_optimization Public

    Python code that converts the multi-objective portfolio optimization problem into a QUBO problem.

    Python 6

Repositories

Showing 7 of 7 repositories
  • ml.classifiers.vc Public

    Scikit-learn compliant Variational Quantum Classifier

    TNO-Quantum/ml.classifiers.vc’s past year of commit activity
    Python 5 Apache-2.0 1 1 0 Updated Dec 10, 2024
  • examples Public

    Toolbox examples

    TNO-Quantum/examples’s past year of commit activity
    2 Apache-2.0 1 0 0 Updated May 1, 2024
  • problems.portfolio_optimization Public

    Python code that converts the multi-objective portfolio optimization problem into a QUBO problem.

    TNO-Quantum/problems.portfolio_optimization’s past year of commit activity
    Python 6 Apache-2.0 0 0 0 Updated May 1, 2024
  • qscore Public

    Python code to run the Q-score (Max-Cut and Max-Clique) benchmark on various backends

    TNO-Quantum/qscore’s past year of commit activity
    Python 2 Apache-2.0 1 0 0 Updated Jan 11, 2024
  • communication.qkd_key_rate Public

    Python code to compute optimal protocol parameters for different QKD protocols.

    TNO-Quantum/communication.qkd_key_rate’s past year of commit activity
    Python 9 Apache-2.0 2 1 0 Updated Jul 5, 2023
  • ml.datasets Public

    Wrapper functions around sklearn datasets for testing tno.quantum.ml classifiers and clustering algorithms.

    TNO-Quantum/ml.datasets’s past year of commit activity
    Python 1 Apache-2.0 0 0 0 Updated Feb 9, 2023
  • .github Public
    TNO-Quantum/.github’s past year of commit activity
    0 0 0 0 Updated Feb 8, 2023

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