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DLR Quantum Computing Initiative

Author: Felix Knoke

Künstlicher Diamant
16. March 2023

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, high-purity diamonds free from sources of interference under controlled conditions. In these, we place individual atoms…
14. March 2023

Invitation to the 3rd Austauschforum Quantencomputing

3rd Austauschforum Quantencomputing From Tuesday, 2 May 2023, 6 pmUntil Wednesday 3 May 2023, 3 pm at CCH Congress Center HamburgHall 4, Foyer 4Live × Online Since the last exchange forum on quantum computing in July 2022, our…
14. March 2023

Industry partner for QCI project BASIQ

We are looking for industrial partners for the QCI project BASIQ: Battery material simulation with quantum computers. See TED: 152228-2023 for full details of the call. The submission deadline is April 13, 2023, 2 p.m. local time. BASIQ…
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…
9. March 2023

Industry partner for QCI project QMPC

We are looking for industrial partners for the QCI project QMPC: Quantum Mission Planning Challenges. For full details of the call, visit TED: 140840-2023. The submission deadline is April 4th, 2023, 2 p.m. local time. The QMPC project…
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…
21. February 2023

Project QSea I & II: Kick-off for a modular and scalable ion trap quantum computer from Hamburg

On the way to the industrial use of quantum computing, the scalability of quantum processors is one of the biggest challenges. With our ion trap project QSea II, we are expanding our know-how in this area together with…
15. February 2023

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 using a variety of physical systems, including flaws in the crystal lattice of solids, where a…
15. February 2023

Industry partner for the QCI project QCoKaIn

××× The tender is closed ××× We are looking for industrial partners for the QCI project QCoKaIn: Hybrid quantum high-performance computing based on causal inference The QCoKaIn project has two goals: On the one hand, it creates an…
15. February 2023

Ion trap quantum computers from Hamburg: Kick-off with Universal Quantum

We are pleased to welcome our industrial partner Universal Quantum to the Innovationszentrum Hamburg and thus also to the QCI: Over the next four years, Universal Quantum will build two prototype ion trap quantum computers for us, the…
10. February 2023

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 quantum algorithms and developing software to simulate AQuRA and the associated algorithms on classical computing systems….
9. February 2023

Project Xaphiro: Kick-off for the ion trap consortium Qudora × NXP at the Innovation center Hamburg

Another big step for ion trap quantum computers from Hamburg: We are pleased about the joint kick-off with Qudora and NXP, who will build a prototype ion trap quantum computer for us in the Xaphiro project. The goal…
8. February 2023

Legato: Prototype multichip quantum computer with up to 100 trapped-ion qubits

Objective We are developing a fully scalable trapped-ion quantum computer that interconnects four quantum computing modules. One path leading to the realisation of quantum computers with millions of qubits is to develop a basic module that can perform…
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…

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