As DLR QCI, we commission industrial companies to develop quantum computers and the necessary auxiliary technologies. In addition, DLR institutes are working on hardware technologies as part of QCI projects. These industrial and research projects are our hardware projects.
At the same time, DLR institutes are developing software and applications for these quantum computers. These are our software and application projects. They develop both software technologies for controlling quantum computers and applications for commercial use.
One of our most important goals is a lively technology transfer between research and industry. That is why within the framework of DLR QCI industry and DLR research work together in partnership: Our software and application projects use the QCI hardware and award specific orders to external industrial partners for the joint further development of quantum technologies.
Our projects | Hardware
DIAQ: Diamond material for room temperature quantum computer
Objective We are developing diamond qubit systems for quantum computers that can operate at room temperature. To do this, we produce artificial,…
Legato: Prototype trapped ion quantum computer with four interconnected modules
Objective We are developing a fully scalable trapped-ion quantum computer that interconnects four quantum computing modules. One path leading to the realisation…
PIQ: Photon source for Integrated Quantum processors
Wir analysieren die Verbesserungspotentiale der Photonenquelle von DLR OS und des photonischen Quantenprozessors von QuiX Quantum um deren jeweiligen Technologien weiter zu…
QSea I: Remote access 10-qubit ion trap-based quantum computer demonstrator
Objective We are building a 10-qubit quantum computer demonstrator based on ion trap technology with control software for remote access and, in…
QSea II: Modular and scalable ion trap quantum computer
Objective We are building a modular and scalable quantum computer based on stored ion qubits. This quantum computer is a modular and…
REDAC: Reconfigurable Discrete Analog Computer
Objective We are building a classic computer based on the paradigms of quantum-inspired classical computing and want to use analogy formation to…
SQuAp: Spin Qubit Analysis platform for hardware based on colour centres
Objective We are developing a qualification system to analyse the functionality and properties of solid-state spin qubits. Quantum computers can be built…
STARQ: Surface Treatment at Atomic Resolution for Quantum Computing
Objective We are developing processes for surface processing of diamonds at atomic resolution. In this way, we improve the quality of diamond…
SuNQC: Quantum computer based on NV centres in diamond with sulphur doping
We are building a quantum computer based on nitrogen-vacancy (NV) centres in diamond created by ion implementation and developing a scaling technology…
TeufIQ: Technology development and support for ion-trap quantum computers
We are developing micromagnets for integration into ion traps, defining electro-optical interfaces and miniaturising peripheral technology such as vacuum technology. Objective At…
Toccata: Trapped-ion quantum computer with at least 50 qubits and error correction
Objective Wir bauen einen nutzungsfreundlichen, zuverlässigen und skalierbaren Quantenprozessor mit mindestens 50 Qubits auf Ionenfallentechnologie. As part of the DLR Quantum Computing…
UPQC: Universal photonic quantum computer with up to 64 qubits
Objective We are developing a universal and error corrected photonic quantum computer with up to 64 qubits Over the course of its…
Xaphiro: Prototype trapped-ion quantum computer with at least 50 qubits
Objective We are developing a microfabricated quantum computer prototype based on ion trapping technology with at least 50 fully functional qubits. As…
Our projects | Software and Applications
ALQU: Algorithms for quantum computer development in hardware-software codesign
Objective We are developing customised compilation strategies for the DLR QCI’s quantum computers and customised quantum algorithms for difficult, industry-relevant computational problems.…
AQuRA: Development of an analogue quantum computing machine
Objective We are designing a novel analogue quantum computing machine (AQuRA) based on continuous quantum variables. For this purpose, we are creating…
ATTRAQT’EM
We take advantage of quantum computing to optimize and accelerate the planning and operation of future energy systems by solving for larger…
BASIQ: Battery materials simulation using quantum computers
Objective We simulate battery materials at the atomic level and battery cells at the continuum level using quantum computers from the DLR…
CLIQUE
We provide the technical infrastructure for accessing the DLR QCI quantum computers and embed it in a development environment that offers a…
KLIM-QML: Improving climate models using quantum machine learning
Objective We are improving climate models using quantum machine learning for robust technology assessment and mitigation recommendations. To this end, we are…
PIQ: Photon source for Integrated Quantum processors
Wir analysieren die Verbesserungspotentiale der Photonenquelle von DLR OS und des photonischen Quantenprozessors von QuiX Quantum um deren jeweiligen Technologien weiter zu…
QCMobility
Wir erforschen das Potenzial von Quantencomputern für hochrelevante und kritische Anwendungsprobleme aus der Mobilität. Hierfür entwickeln wir maßgeschneiderte Quantenalgorithmen und Demonstrationsprobleme und…
QCoKaIn: Hybrid Quantum High-Performance Computing using Causal Inference
Objective We are building a software infrastructure for hybrid Quantum High-Performance Computing (Q-HPC) and developing, using and evaluating hybrid algorithms for anomaly…
QLearning – Quantum processors for reinforcement learning
Objective We are investigating the suitability of quantum processors from the DLR Quantum Computing Initiative (QCI) for the implementation of quantum algorithms…
QMPC: Quantum Mission Planning Challenges
Objective We solve mission planning problems using three quantum algorithms and create an interface between a classical planning system and quantum computers.…
QUA-SAR: Quantum computing for radar remote sensing
Objective We use quantum computing for processing and optimization tasks in radar remote sensing. Quantum computing is used for processing and optimisation…
Quant²AI: Quantifying the benefits of quantum AI systems
Objective We are making the complete end-to-end pipeline of quantum artificial intelligence (AI) systems comparable, quantifying any quantum advantages over classical methods,…
QuantiCoM: Quantum Computing for Materials Science and Engineering
Objective We are exploring tools for the rapid discovery and development of new materials, their transfer to industrial partners for application, and…
QUTENET
Wir bewerten die Vor- und Nachteile von Quanten-Tensornetzwerken im Vergleich zu klassischen Netzen für Anwendungen in der Quantensimulation und Quanten-KI und untersuchen…
R-QIP: Reliable Quantum Information Processing
Objective We are improving the reliability of quantum information processing using methods such as error models, simulators for quantum error correction algorithms…
STARQ: Surface Treatment at Atomic Resolution for Quantum Computing
Objective We are developing processes for surface processing of diamonds at atomic resolution. In this way, we improve the quality of diamond…
TeufIQ: Technology development and support for ion-trap quantum computers
We are developing micromagnets for integration into ion traps, defining electro-optical interfaces and miniaturising peripheral technology such as vacuum technology. Objective At…
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