The Institute takes part in many scientific projects. We list our major projects in this section.


Control for quantum technology development (QRUISE)

QRUISE provides The Qruise Toolkit.
This is a collection of algorithms – optimizers, simulators, machine learning tools and other software components designed to accelerate the development of quantum technology and to improve its application.


Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing (QUASIM)

The aim of the project "QC-Enhanced Service Ecosystem for Simulation in Manufacturing" (QUASIM) is the development and testing of algorithms and technologies of quantum computing (QC) for critical simulation questions in manufacturing, methodical embedding in Industry 4.0 frameworks as "Quantum-as-a-Service" (QaaS).


Diamond spin-photon-based quantum computer (Spinning)

The joint project “SPINNING” (diamond spin-photon-based quantum computer) aims to develop the demonstrator of a quantum processor “made in Germany” as well as the peripherals needed to connect the processor to classical computer systems. The quantum processor is based on so-called spin qubits in synthetic diamond.

Henrikki Mäkynen, IQM Quantum Computers

Digital Analog Quantum Computer (DAQC)

The goal of this collaborative project is to fabricate and continuously operate a digital-analog quantum computer and the associated calibration and control technology. This quantum computer will be integrated into a high-performance computing environment in which the quantum processor will assume the function of a computing accelerator. Thus, not only quantum supremacy, but a real quantum advantage is to be achieved by means of DAQC already in the next few years.


German Quantum Computer based on Superconducting Qubits (GEQCOS)

The realization of quantum computers and the generation of the so-called quantum bits or qubits for short, which are necessary for its function, is currently a major challenge. The associated quantum states are generally very sensitive to external influences and are not very stable. This is currently a major obstacle to practical use. To make progress in this area, the partners of the GEQCOS collaborative project are pursuing a new approach to generate qubits based on superconducting circuits. The goal is to realize a quantum processor that can be used to demonstrate the viability of the chosen concept.


Matter and Light for Quantum Computing (ML4Q)

Using the principles of quantum mechanics, it is the long-term goal of ML4Q to develop new computing and networking architectures with a power beyond anything classically imaginable.

Quantum optical laboratory for the development of a neutral atomic quantum processor at the Max Planck Institute for Quantum Optics

Munich Quantum Valley Quantencomputer Demonstratoren (MUNIQC Atoms)

The goal of the alliance is the realization of a quantum processor based on neutral atoms with up to 400 qubits. Individual strontium atoms, in which the qubits are encoded, are to be trapped and cooled in special optical trap potentials. Using single focused laser beams, these qubits can be coherently manipulated and, conditional on interactions between the atoms, elementary one- and two-qubit gates can be realized. The basic functionality of the quantum processor, its external access, and the scalability of the approach will be demonstrated in the compound.


Open Superconducting Quantum Computer (OpenSuperQ)

The 10 international partners from academia and industry involved in the European FET Flagship project OpenSuperQ aim at designing, building and operating a quantum information processing system of up to 100 qubits and to sustainably make it available at a central site for external users.

Quantum Artificial Intelligence for the Automotive Industry (Q(AI)2)

The goal of the project is to develop a broad base of algorithms for AI applications with optimizations on quantum computers. For this purpose, a deeper understanding of the acceleration potential will be developed for the already known algorithms. Furthermore, it will be identified in which fundamental as well as industrially relevant applications quantum cl provides essential acceleration. The implementation of algorithms will be optimized for the available hardware as well as for the industrial problem. This results in a clear and qualified outlook for first quantum-accelerated AI applications in the automotive sector.


Quantum computer in the solid state (QSOLID)

In this project, a quantum computer demonstrator with processor generations of different performance profiles (size, precision, application reference) based on superconducting circuits will be created. The core element is the combination of a qubit double strand with resonators. The circuits achieve their high quality through precise fabrication and analytics coupled with detailed modeling. System integration is guided by a tightly tuned software and firmware stack. A supply chain of supporting technologies is being established in preparation for further scaling steps.

Past Projects

Last Modified: 20.03.2023