16 million euros for photonic quantum processors
Seven universities and research institutions as well as Vanguard Automation GmbH employ a measurement-based quantum computing approach in the BMBF project PhotonQ.
Quantum computers will one day be able to solve problems at high speed that cannot be handled by classical computer stems. However, in order for these computers to become practical, they must process a significantly higher number of qubits and have lower error rates. A research project led by Prof Stefanie Barz from the University of Stuttgart is now developing a photonic quantum processor for this purpose, which allows the realization of quantum algorithms with only a few qubits and, in the future, should enable rapid scaling to qubit numbers that are relevant for practical applications.



There are many different approaches to researching new, scalable quantum processors: atom and ion traps, superconductors, semiconductors or entangled photons. In PhotonQ, funded by the Federal Ministry of Education and Research (BMBF) with 16 million euros, the universities of Stuttgart, Würzburg, Mainz and Ulm, the Technical University of Munich, the Institute for Microelectronics Stuttgart and Vanguard Automation will develop a photonic quantum processor. The heart of the quantum processor is an integrated photonic chip.
The starting point for a measurement-based quantum processor is a highly entangled quantum state. Entanglement means that a measurement on one particle can change the state of another particle regardless of distance. To perform universal quantum computations, (adaptive) measurements are made on a large entangled state adapted to the computational problem at hand. “The challenge here is to produce and process such a state in a photonic system with high efficiency and quality. The development of integrated optical components and circuits plays a central role here. Very importantly, optical losses in the system must be kept as low as possible. At the same time, there must be a high level of efficiency in the generation and detection of photons. This requires the development of new or significantly improved components in all subsystems,” explains project coordinator Stefanie Barz from the Institute for Functional Matter and Quantum Technologies (⬈ FMQ) at the University of Stuttgart. Accordingly, deterministic photon sources, scalable silicon photonic circuits, better interconnection technology and novel single photon detectors will be realised in the ⬈ PhotonQ project.
The overall system of the quantum processor will be built at the University of Stuttgart. It will demonstrate quantum information processing with eight qubits and prove the fundamental suitability of the measurement-based principle for photonic quantum computing. Over the project period of four years (2022 – 2025), four generations of processors will be developed, which will increase in complexity. The partners are developing special hardware components or theory and software concepts for optimizing and characterizing the processor.
PhotonQ is already the second project at the University of Stuttgart funded under the BMBF’s ⬈ Quantum Processors and Technologies for Quantum Computers measure. Both projects underline the research strength of the University of Stuttgart in its profile area of quantum technology.
Company
Universität StuttgartKeplerstr. 7
70174 Stuttgart
Germany
most read

Keysight Acquires VPIphotonics
Developers in the fields of optics and electrical engineering can use it to model photonic components, circuits, and complete transmission links in a unified environment.

Market for humanoid robots set to grow to 15 billion dollars by 2035
According to the report "Humanoid Robots - 2026" by Interact Analysis, the market for humanoid robots is still at an early stage, but shows significant growth potential for the 2030s.

Sick increases sales in 2025
In the 2025 financial year, the company increased its turnover to 1.85 billion euros, an increase of 6.5% compared to the previous year.

Global robot density: Western Europe leads ahead of North America and Asia
In the EU-27, the robot density is 231, which is above the global average of 132.

Global machine vision market set to grow to 8.3 billion dollars by 2030
According to a recent report by Interact Analysis, the machine vision industry has exceeded expectations with growth of 5.2 percent in 2025.






