Industrialization & Manufacturing System Engineer

Key technology for photonic quantum processor units: Paderborn University coordinates new collaborative project. 04.09.2026 | Research, Transfer, Quantum Computation, Press release, Institute for Photonic Quantum Systems (PhoQS), Faculty of Science, Department of Physics Quantum technologies in Germany are making enormous strides, particularly in computing, communications, and sensor technology. However, researchers and developers face many technical and geopolitical challenges in the development and further advancement of these technologies. Through the funding scheme 'Enabling Technologies for Resilient R&D Supply Chains in Quantum Technologies', the Federal Ministry of Research, Technology and Space (BMFTR) is funding pre-competitive collaborative projects focused on the development and further advancement of fundamental technologies for quantum computers and quantum sensors. Coordinated by Paderborn University, the collaborative project 'Detector Engineering to Enable Quantum Technology' (DETEQT) has now been launched and will receive funding of around six million euros over a period of three years. Project redefines scalability and interoperability. Photonics-based quantum processor units (QPUs) are indispensable in photonic quantum computing, quantum communication, and sensor technology. Whilst they may offer an advantage over classical components, their functionality is often limited by their single-photon detector systems. The 'DETEQT' project aims to overcome these limitations and holistically further develop QPUs based on so-called single-photon nanowire detectors (SNSPDs). "Although individual SNSPDs can, when considered in isolation, meet the stringent performance criteria required to enable photonic QPUs, it remains a major challenge to maintain this performance when integrated into the QPU at the required scale. As a result, photonic QPUs are currently facing clear limitations, whether due to limited detector efficiency, cryogenic thermal load, low-loss integration with other components, or insufficient photon number resolution, PNR for short. With our project, we aim to overcome these technical hurdles holistically and resolve the issue of poor interoperability. In this way, we are creating the conditions for practical integration," explains Prof. Dr. Tim Bartley, coordinator of the collaborative project and group leader at the Institute for Photonic Quantum Systems (PhoQS) and the Department of Physics at Paderborn University. Strong consortium from academia and industry. This project involves joint research and development by Paderborn University, the Technical University of Munich, the University of Heidelberg, the Physikalisch-Technische Bundesanstalt, Swabian Instruments GmbH, Munich Quantum Instruments GmbH, the Leibniz Institute for Photonic Technologies, Single Quantum Germany GmbH, the University of Münster, Pixel Photonics GmbH, Quandela GmbH and the associated partner attocube systems GmbH. At the same time, the 'Photonics Systems Engineering' cluster is also being launched; this comprises a total of seven collaborative projects under the funding programme and is likewise coordinated by Paderborn University, under the leadership of Prof. Bartley. The cluster represents the combined strength of research institutes, universities, start-ups and small and medium-sized enterprises under a single umbrella brand. This network underscores the strategic importance of photonics as an 'enabling technology' for quantum research, aiming not only to promote knowledge transfer between the collaborative projects but also to build bridges to other projects in the field of quantum technology in Germany. This text was translated automatically. Contact. Institute for Photonic Quantum Systems (PhoQS)

Quandela launches LUCY, ZuriQ raises $25.5M, & Multiverse hits unicorn status. QUANTUM COMPUTING QUANDELA PROVIDES ACCESS TO AN HYBRID DYSTEM LUCY, a hybrid system combining a Quantum processor provided by the French QUANDELA with a classical super-computer, is now available for researchers wishing to develop and test new algorithms. The system is hosted and operated by the CEA's high performance computing facility. Top100 Swiss Startup alumnus ZuriQ has secured a USD 25.5 million seed round to accelerate the development of its trapped-ion quantum processors. The funding, led by QUANTONATION, will support team growth, expand research, and scale manufacturing of the company's novel two-dimensional chip architecture. Founded in 2024 as a spin-off from ETH Zurich by Professor Jonathan Home's research group, Zurich-based ZuriQ, ranked among the Top100 Swiss Startups, is tackling one of quantum computing's biggest challenges: scaling trapped-ion processors. While trapped ions are among the highest-performing qubits thanks to their long coherence times and strong connectivity, conventional one-dimensional architectures become increasingly difficult to scale. ZuriQ has developed a native two-dimensional architecture based on Penning micro-traps, replacing the oscillating electric fields used in traditional designs with a static magnetic field. This allows ions to move freely across the chip without the junctions that typically create bottlenecks as systems grow. The company has already demonstrated a 3x3 array of nine individually controlled ions the largest two-dimensional trapped-ion array of its kind to date. Developed in collaboration with ETH Zurich and fabricated by manufacturing partner Infineon, the chip also validates that the technology can be produced using established semiconductor manufacturing processes. THE SPANISH MULTIVERSE COMPUTING SECURES A 500 M€ ROUND OF FUNDING Multiverse applies Quantum techniques to improve AI systems. It compresses LLMs by 80-95%, with a minimum accuracy loss, which allows to run a model on prem better than in the cloud. The objective is to control inference costs, which are slated to far exceed those of training the model. Multiverse, with origin in Spain and offices in France, the UK, Italy and America, is now validated 1,55 B€, which makes it a new unicorn. Customers include Telefonica, Allianz, Iberdrola, Bosch, Bank of Canada. The revenues of the company are rapidly ramping up. Among other investors is TIKEHAU Capital. Share: More posts. ROMANIA LAND REGISTRY DISRUPTED BY CYBER ATTACK A cyberattack wiped Romania's land registry database, disrupting real estate transactions nationwide after the hack destroyed production systems and backups following a https://youtu.be/v7q-dB0bNcU For Felix Winterstein, Managing Director of Xelera Technologies, this shift represents a fundamental change in the European technology landscape. As companies and governments increasingly AI GOVERNANCE While in catch up mode in AI, China also intends to participate in shaping the rules that will govern their use. On July 16, ESET GETS A CENTRAL POSITION IN THE NETHERLANDS The Dutch central government has signed a framework agreement with ESET, valid across the entire administration.This agreement

Quandela validates low-latency photonic QPU integration with NVIDIA NVQLink. Insider Brief * Quandela demonstrated a low-latency integration path between its photonic quantum processors and NVIDIA accelerated computing infrastructure, supporting hybrid quantum-classical computing workflows. * The validation used NVIDIA NVQLink, an FPGA-based Quantum System Controller, and a Quandela photonic QPU to enable real-time communication between quantum and classical systems. * The approach is aimed at future HPC, AI, and quantum machine learning applications where photonic QPUs can operate alongside GPUs as accelerators within computing environments. PRESS RELEASE - Quandela today announced that it has experimentally validated a low-latency integration path between photonic quantum processors and NVIDIA AI infrastructure, marking an important milestone toward bringing quantum processing units directly into high-performance computing environments. Results presented at ISC 2026 demonstrate a path toward accelerator-style integration of photonic quantum processors in GPU-driven HPC environments. The results show how a Quandela photonic QPU can be integrated with an NVIDIA GPU host and an FPGA-based Quantum System Controller through NVIDIA NVQLink. More than a simple interconnect, NVQLink provides a hardware-and-software architecture for low-latency, real-time communication between GPU supercomputing infrastructure and quantum system controllers. The validation supports a new execution model for hybrid quantum-classical computing: moving beyond remote quantum access toward collocated quantum acceleration inside HPC infrastructure. Today, most quantum processors are accessed through cloud APIs, job queues and orchestration layers. This approach remains valuable for experimentation and batch execution, but its asynchronous nature introduces latency that limits workflows requiring real-time responses inside AI or HPC pipelines. Quandela's results address this bottleneck. By measuring low-latency communication between GPU infrastructure and the FPGA-based Quantum System Controller, the company has validated a practical route for photonic QPUs to participate more directly in GPU-driven workloads. "This is not just a demonstration of connectivity," said Jean Senellart, Chief Technology & Product Officer at Quandela. "This validation confirms a technical path toward integrating photonic QPUs into the HPC accelerator stack. For the HPC community, the important shift is that quantum processors can start to be treated less like remote experimental instruments and more like accelerators deployed alongside GPUs." The validation is based on a collocated architecture combining NVIDIA accelerated computing and networking with an FPGA-based Quantum System Controller connected to a Quandela photonic QPU. In this model, existing HPC schedulers remain responsible for reservation, allocation and accounting, while the active GPU-QPU session is designed to avoid repeated traversal of the full cloud-style orchestration path. The first target workloads are in photonic Quantum Machine Learning, including quantum reservoir computing, quantum feature maps and hybrid neural-network architectures. These workloads are particularly well suited to the architecture because many photonic circuits can remain configured during inference, while new data points require only lightweight updates before measurement. This is where photonics offers a distinctive advantage. For selected QML workloads, the same optical configuration can be reused across many inference calls, while new data points require only lightweight updates before measurement. Combined with fast photonic sampling, this makes system-level latency - not only quantum execution time - a decisive factor in performance, which is why the low-latency interaction model enabled by NVQLink is crucial for successful operation. Quandela's MerLin framework provides the software environment used to design, simulate, benchmark and validate these hybrid photonic QML workflows. The work also builds on Quandela's MosaiQ photonic quantum computing platform, whose current systems are designed with FPGA-based control capabilities aligned with the Quantum System Controller model defined by NVIDIA NVQLink. For HPC centers, sovereign AI and quantum programs, advanced research organizations and industrial users, the validation points toward a future deployment model in which a customer-owned photonic QPU could be installed on-premise or in a dedicated data center environment and connected to NVIDIA accelerated computing infrastructure. "Tightly integrating quantum systems with accelerated computing is proving hugely impactful for quantum research," said Sam Stanwyck, Director of Quantum Product at NVIDIA. "Quandela's work with NVQLink shows how quantum-GPU supercomputing systems will fundamentally transform how we are able to think about computing applications when information can be passed seamlessly between different processors." This announcement marks a technical validation milestone toward low-latency GPU-QPU integration, paving the way for future NVQLink-enabled MosaiQ deployments. Beyond near-term hybrid AI and QML workloads, the same integration principles are relevant to future quantum computing architectures, where QPUs, FPGA-based control systems and GPU-accelerated infrastructure will need to operate in tightly coordinated environments. Low-latency GPU-QPU integration is therefore both a near-term enabler and a foundation for future hybrid quantum-classical computing systems. Quandela will present these results at ISC High Performance 2026 in Hamburg on 23 June 2026. Mohib ur rehman. Covering quantum and emerging technologies, Mohib explores the intersection of technology, security, and society. His work frequently examines surveillance infrastructure and the institutions shaping the digital world. In addition to his work at The Quantum Insider, he co-runs SK NEXUS, an independent technology publication that helps readers understand the technologies shaping their lives. Relevant. Matt Swayne October 8, 2024 Matt Swayne February 2, 2020 James Dargan September 23, 2022 Matt Swayne February 17, 2025 Matt Swayne November 19, 2025