Applications

    Market survey: Concepts for quantum-assisted cryptanalytic methods for lattice-based cryptography

    We are looking – as soon as possible – for companies and organisations to submit proposals for quantum-assisted cryptanalytic methods for lattice-based cryptography as part of a market sounding exercise.…

    Made for impact: Our first QCI Next projects are getting underway

    At QCI Next, we are building on our most successful hardware, software and app projects and scaling them up to make a real impact. The first Next projects are now…

    HyQCuP

    We integrate the data in Attraqt and QMPC (MILP-based methods, E-VQE, F-VQE), as well as two use cases, as tested Python modules into the QCI Connect SDK and validate them…

    BASIQ Transfer

    We use quantum algorithms to simulate processes and systems in battery materials. In doing so, we are paving the way for the next generation of safe, high-performance and long-lasting energy…

    Q2Fly

    We develop simulation and design methods for high-performance, long-lasting fuel cell systems. In doing so, we are paving the way for hydrogen-based propulsion systems for climate-neutral aviation and accelerating industrial…

    HAPEQS

    We develop algorithms that enable complex calculations for industry and research. This allows for greater precision in a range of simulations, from battery storage to weather and climate simulations. The…

    November workshop: Quantum Processors for Reinforcement Learning

    Gain an insight into the latest findings from the QML project QLearning. Find out which hybrid and quantum-based agents can be used for reinforcement learning. Exchange ideas with participants from…

    Save the Date: Workshop on ‘Quantum processors for reinforcement learning’

    On 19 November 2026, interested parties from academia and industry will have the opportunity to expand their expertise on the potential of quantum processors for reinforcement learning: the workshop of…

    Marvin Gajewski: „We use noise as a resource“

    High-performance batteries are essential for electric mobility, the stabilisation of electricity grids and many other applications of electrification. Lithium-ion batteries are widely used today, but the batteries of the future…

    QCMobility: Workshop with contractors from industry

    Last week, the workshop for our DLR-QCI project, QCMobility, took place in Ulm. With a view to transferring quantum computing to the various transport sectors, we held discussions with our…

    ALQU shows workflow from A to Z

    It is a complete product and not an improved sub-process that the ALQU project team presents together with HQS in a new paper: “Quantum Simulation of Magnetic Materials: from Ab-Initio…

    Quantum Xperience

    Quantum Xperience interactively shows the world of quantum computing.

    HQS supports QCMineral | QUADRIGA in the development of innovative glass applications

    We were looking for contractors for the development, realisation and evaluation of atomistic material simulations of functional glassy and glass-ceramic oxide materials. HQS Quantum Simulation with MS1P was awarded the…

    Tensor AI supports QCMineral | QUADRANT in the quantum-assisted development of metal oxides with redox function

    Tensor AI has been awarded the contract in the QUADRANT tender for research and development in our materials research project QCMineral. Together with the DLR research team, and with Fraunhofer…

    Ulrich Biedermann: “Tensor networks advance material simulation with quantum computing.”

    The DLR Institute for Future Fuels wants to make renewable resources available to replace fossil resources: Air + water + a huge amount of renewable energy that can be used…

    ParityQC supports QCMobility in the integration of quantum computing for mobility solutions

    We were looking for companies to support us in the integration of quantum-based solutions and approaches in our mobility project QCMobility at the DLR Institute of Quantum Technologies. ParityQC has…

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