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
COMIQC
Customized Organic Molecules for Quantum Computing
Quantencomputer
Solid-State Spin
DIAQ
Diamond material for room temperature quantum computer
Spin-enabling Technologies
DiNAQC
Digitaler Neutralatom-Quantencomputer
Neutral Atoms
Quantencomputer
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
Remote access 10-qubit ion trap-based quantum computer demonstrator
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
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 quantum computers
Enabling technologies
Ion traps
Toccata
Trapped-ion quantum computer with at least 50 qubits and error correction
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 projects | Software and Applications
ALQU
Algorithms for quantum computer development in hardware-software codesign
Hardware-related Software
HW/SW codesign
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
Ionenfallen-basierte Quantencomputer mit Co-Design-Elementen
Applications
Hardware-nahe Software
Klim-QML
Improving climate models using quantum machine learning
Applications
Quantum Machine Learning
NeMoQC
Neuromorphic Quantum Computing
Applications
Optimierung
QCMobility
Quantum computing & Mobility
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
QuantiCoM: Quantum Computing for Materials Science and Engineering
Applications
Materials science
QUANTITY
Quantum-assisted Cryptanalysis
Applications
Quanten-Kryptoanalyse
QuTeNet
Quantum Tensor Networks for Quantum Simulations and Artificial Intelligence
Applications
Middleware
Quantum Machine Learning
R-QIP
Reliable Quantum Information Processing
Applications
Middleware
ToQuaFlics
Towards Quantum Fluid Dynamics
Applications
Quantum Machine Learning