Author: Anna Girke

  • Release: v0.12.0 and v0.11.0 of the QCI Connect SDK

    We are delighted to announce two new releases of the QCI Connect SDK: v0.11.0 (8 September 2026) and v0.12.0 (8 October 2026). As well as the upgrade to API v6, the two releases provide access to APUs, IQM…

  • QCI Connect SDK 0.10.0 released

    We are delighted to announce the release of the new version, v0.10.0, of the QCI Connect SDK, designed to offer both quantum experts and beginners an even more powerful and flexible development environment. With this release, we are…

  • 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 aerospace, energy and financial sectors all benefit from…

  • 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 other DLR QCI projects. All this will be…

  • QSea II demonstrates a milestone in a video

    There’s plenty of action in the laboratory, even on the smallest scale: the QSea II project has demonstrated, for the first time, the controlled movement of a charged particle. As can be seen in the video, the QSea…

  • 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 must be more powerful, age more slowly and…

  • Mierk Schwabe: “This is new and unexpected”

    Typically, climate models cannot depict all processes in the atmosphere: How clouds form has so far been modelled using simple, but sometimes error-prone models. Climate QML utilises quantum machine learning methods to improve and accelerate such representations. By…

  • 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 to NISQ” shows how all work steps were…

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