We commission startups and industry to develop quantum computers and enabling technologies. At the same time, 19 DLR institutes develop quantum use cases that they implement on our quantum computers. Our hardware projects COMIQC Customized Organic Molecules for Quantum Computing Quantum Computer Solid-State Spin DIAQ Diamond material for room temperature quantum computer NV Centers Spin-enabling Technologies DiNAQC Digital neutral atom quantum computer Neutral Atoms Quantum Computer KompaQD Compact quantum computing demonstrator Quantum Computer Solid-State Spin Legato Prototype trapped ion quantum computer with four interconnected modules Ion traps Quantum Computer PiQ Photon source for Integrated Quantum processors Enabling technologies Photons QSea I Quantum computer demonstrator with 10 ion trap qubits Ion traps Quantum Computer QSea II Modular and scalable ion trap quantum computer Ion traps Quantum Computer REDAC Reconfigurable Discrete Analog Computer Analogue Computers Computer SQuAp Spin Qubit Analysis platform for hardware based on colour centres Enabling technologies Spin-enabling StarQ Surface Treatment at Atomic Resolution for Quantum Computing Enabling technologies NV Centers SuNQC Quantum computer based on NV centres in diamond with sulphur doping NV Centers Quantum Computer TeufIQ Technology development and support for ion trap-based quantum computers Enabling technologies Ion traps Toccata Scalable trapped-ion quantum computer with at least 50 qubits Ion traps Quantum Computer UPQC Universal photonic quantum computer with up to 64 qubits Photons Quantum Computer XAPHIRO Prototype trapped-ion quantum computer with at least 50 qubits Ion traps Quantum Computer XQi Quantum computer based on NV centers in diamonds NV Centers Quantum Computer Our use case and software projects ALQU Algorithms for quantum computer development in hardware-software codesign Applications AQuRA Development of an analogue quantum computing machine Analogue quantum computer Hardware-related Software Attraqt’em Applications, interfaces and data formats for quantum computing algorithms in energy system modelling Applications Optimization Open positions BASIQ Battery materials simulation using quantum computers Applications Materials science CLIQUE Classical Integration of Quantum Computers Applications QC remote access IQDA Ion trap-based quantum computers with co-design elements Applications Hardware-related Software Klim-QML Improving climate models using quantum machine learning Applications Quantum Machine Learning NeMoQC Neuromorphic quantum computing for prediction and optimisation Applications Optimization QCMineral Quantum computing for mineral materials Applications Materials science QCMobility Quantum computers for mobility applications Applications Optimization QCoKaIn Hybrid Quantum High-Performance Computing using Causal Inference Applications Quantum Machine Learning QCOptSens Quantum Computation for Optical Sensor Design Applications Optimization QI-TraSiCo Quantum-Inspired Traffic Signal Control Applications Optimization QLearning Quantum processors for reinforcement learning Applications Quantum Machine Learning QMPC Quantum Mission Planning Challenges Applications Optimization QUA-SAR Quantum computing for radar remote sensing Applications Optimization Quant²AI Quantifying the benefits of quantum AI systems Applications Middleware Quantum Machine Learning QuantiCoM Quantum Computing for Materials Science and Engineering Applications Materials science QUANTITY Quantum-assisted Cryptanalysis Applications Quantum cryptanalysis QuTeNet Quantum Tensor Networks for Quantum Simulations and Artificial Intelligence Middleware Quantum Machine Learning R-QIP Reliable Quantum Information Processing Applications Quantum Error Correction ToQuaFlics Efficient and fast flow simulation using quantum computers Applications Quantum Machine Learning