Quantum computing at Fraunhofer

Overview of ongoing quantum computing projects

SEQUENCE: An EU project aiming to make quantum computing technology scalable

As part of the European research project SEQUENCE, nine partners including Fraunhofer IAF are employing new methods to develop electronics for cryogenic applications. This has resulted in the creation of innovative cryogenic 3D nanoelectronics that will contribute to improving key technologies for quantum computers as well as satellite-based and terrestrial communication systems. Fraunhofer IAF is contributing to the project with its many years of experience in technological development, circuit design and cryogenic measurement technology for ultra-low-noise, high-frequency electronic systems.

PlanQK — Platform and ecosystem for quantum-assisted artificial intelligence

PlanQK is a platform and ecosystem for quantum-assisted artificial intelligence. PlanQK is aimed at enabling users to access a quantum app store, developers to use quantum platforms in a simple manner and specialists to provide plans for making quantum computing easily accessible.

The QFC-4-1QID project: Bringing quantum bits to the fiber-optic network

Fiber-optics with the capacity to transmit quantum information over long distances would put the quantum Internet within easy reach. With this goal in mind, the Dutch research institution QuTech and the Fraunhofer Institute for Laser Technology ILT launched the ICON project QFC-4-1QID on September 1, 2019. In this long-term, strategic partnership between the research institutions, scientists are developing quantum frequency converters for linking quantum processors with fiber-optic networks. This new technology will be deployed in the world’s first quantum Internet demonstrator in 2022.

EnerQuant: Quantum computing for the energy sector

As part of this BMWi-funded project, we are developing algorithms for qubit-based quantum computers and quantum simulators to create a fundamental model for the energy sector with stochastic variables. The basis of the project involves defining a simple fundamental model that we can translate into a quantum-mechanical problem, which can then be solved efficiently by a quantum simulator.

IQuAn: Ion quantum processor with HPC connection

Trapped ions possess a number of advantages in comparison to other physical realizations. In particular, the long coherence time of trapped ions provides a basis for a correspondingly long operation time when executing quantum algorithms. The IQuAn Group (which includes Fraunhofer IOF) is pursuing a new, scalable approach with high qubit connectivity. By moving and regrouping the ions, the individual optical addressing of small registers is combined with the coupling and the dynamic configuration of multiple registers.

AQTION: Fraunhofer IOF provides a laser optics system for the German quantum computer

The »Advanced quantum computing with trapped ions« (AQTION for short) group was set up in 2018, with the objective of driving applied research on quantum computing in the European Union. The initiative forms part of the EU’s Quantum Technologies Flagship program. The object of the project is to realize a scalable ion-based quantum computer. Fraunhofer IOF researchers have developed innovative optics and laser technology for the 19-inch quantum computer.

SEQUOIA: Software engineering for industrial, hybrid quantum applications and algorithms

Fraunhofer IAO is developing new methods, tools and algorithms based on use cases and user requirements. These include quantum algorithms as well as technologies for everything from the development process to the execution of quantum circuits. Another focus relates to developing procedures for mitigating errors and standardized interfaces. This technology is deployed in hybrid solutions that combine quantum algorithms with conventional solutions.

QUASAR: Semiconductor quantum processor with shuttling-based scalable architecture

The project aims to develop architecture for quantum computers without geometric scaling limits, using semiconductor technology that is commercially available in Germany. Fraunhofer IPMS is participating by using processes adapted from CMOS fabrication. Through multiple iteration steps and by taking into account the possibilities offered by fabrication technology, the project aims to provide optimized component structures with the highest possible level of homogeneity on the substrate level.

QLSI: Quantum Large-Scale Integration with Silicon

The QLSI project has set itself the goal of developing scalable technology for silicon qubits for quantum computers. Silicon qubits can be controlled and read at high speed and due to their small size, high value and compatibility with industrial production processes, they are ideally suited for quantum computing. Silicon qubits have already been successfully demonstrated many times; this project focuses on developing scalable technology for later industrial implementation and for demonstrating a 16-qubit chip.

HalQ — Semiconductor-based quantum computing

The HAlQ project is developing an overarching platform for evaluating and integrating qubit concepts into an overall system that will enable the participating Fraunhofer institutes to implement the German federal government road map for developing a quantum computer “Made in Germany.” The project will pay special attention to the advantages of microelectronics for realizing highly scalable quantum computers and to the further development of the necessary technologies.

MATQu: Materials for Quantum Computing

With the goal of creating a complete European value chain for the fabrication of superconducting Josephson junctions as promising qubit candidates for quantum computing, the Materials for Quantum Computing (MATQu) project was launched in June. In the areas of substrate technology, process technology and tools, the MATQu project brings together key European players in the field, including four major RTOs. The FMD office, together with Fraunhofer IAF, is leading the project, which is funded by the EU Horizon 2020 framework program.


AutoQML: Developer suite for automated machine learning with QC

Quantum computing enables an acceleration of machine learning (ML) approaches and the development of new solution approaches. However, the implementation of such quantum algorithms is use case specific and therefore requires characteristic development by interdisciplinary quantum software engineers. The AutoQML project aims to simplify these processes. The goal is to extend approaches for the automation of machine learning by quantum computing, in order to be able to, among others, solve problems in the production and automotive area more easily and faster.