9. March 2023
Industry partner for QCI project ALQU
××× The Call for Proposals is closed ××× We are looking for industrial partners for the QCI project ALQU: Algorithms for quantum computer development in hardware-software codesign. The goal of ALQU is the development of customized compilation strategies…
3. March 2023
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. We consider three challenges from space operations and implement them in a scalable way for quantum…
7. February 2023
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 detection based on causal inference. Our topic is Q-HPC, which combines elements of classical HPC with…
7. February 2023
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 exploiting the potential of quantum computing for the improvement of climate models. We will also make…
7. February 2023
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 for reinforcement learning. Machine learning, and in particular reinforcement learning, is becoming increasingly important in the…
7. February 2023
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 the identification of simulation approaches that promise quantum advantage. The aim of QuantiCoM is to develop…
7. February 2023
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 and new decoders for quantum error correction. Quantum computers of the noisy intermediate-scale quantum computer (NISQ)…
7. February 2023
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, developing a demonstrator, and thus initiating the process of standardisation in the field of quantum AI…
1. February 2023
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 tasks in radar remote sensing. With the QUA-SAR project, we are combining the classical research field…
1. February 2023
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. Through our research and development work, we support the quantum computing ecosystem in the development of…
31. January 2023
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 the DLR Innovation Centre Hamburg, DLR offers technological support for the preparation of processes necessary to…
24. January 2023
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 Quantum Computing Initiative and adapt the quantum simulation to specific hardware. Our goal is to develop…
6. January 2023
Industry partner for the QCI project QUA-SAR
Public tender ist closed. We are looking for industrial partners for the QCI project QUA-SAR: Quantum computing for radar remote sensing. The objective of QUA-SAR is the development of innovative processing concepts and quantum algorithms for radar applications,…
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