Quandela demonstrates its GPU–QPU integration architecture using NVIDIA NVQLink

New demonstrator shows how photonic quantum processors can become tightly integrated accelerators within future AI and HPC infrastructures, as Quandela expands its technology and industrial footprint in Germany.

Berlin, Germany, 13 October 2026 — Quandela, a European leader in photonic quantum computing, will showcase a new hybrid AI–quantum computing demonstrator at NVIDIA GTC Berlin, to show how quantum processing units can become integrated resources within accelerated computing infrastructures.

The demonstrator builds on Quandela’s experimental validation, announced at ISC High Performance in Hamburg earlier this year, of a low-latency integration path between NVIDIA accelerated computing and Quandela photonic quantum processors using NVIDIA NVQLink.

At GTC Berlin, an AI workflow running on an NVIDIA DGX Spark exchanges data directly with Quandela’s FPGA-based System Controller through NVIDIA NVQLink.

A reservoir-computing use case and live visual dashboard allow visitors to follow the interaction across the workflow, from classical data preparation to quantum processing and the final result.

For this demonstration, the QPU itself is simulated. The setup is designed to reproduce the system architecture and interaction model previously validated by Quandela with a physical photonic QPU, while making the GPU–QPU workflow visible and accessible in a live exhibition environment.

From remote quantum access to integrated quantum acceleration

Today, most quantum computers are accessed as remote resources through cloud environments. Quandela’s work with NVQLink explores a growing deployment model: one in which QPUs operate alongside CPUs and GPUs as specialized accelerators within AI and high-performance computing infrastructure.

In this architecture, the CPU orchestrates the application, the GPU handles intensive AI and classical computation, while the photonic QPU can be called for selected workloads where quantum processing may provide an advantage.

The approach combines Quandela’s photonic quantum computing technology and Quantum System Controller with NVIDIA accelerated computing, through NVQLink and the NVIDIA CUDA-Q platform for hybrid quantum-classical computing, creating a path toward increasingly tightly coupled hybrid computing environments.

Jean Senellart, Chief Technology and Product Officer at Quandela, said:

“The next challenge for quantum computing is not simply to make QPUs available. It is to make them work naturally inside the computing infrastructures that researchers and companies already use. What we are demonstrating at GTC Berlin makes that architecture tangible: GPU and QPU are no longer treated as isolated resources, but as complementary processors within the same workflow viaNVIDIA NVQLink.”

Germany at the heart of Quandela’s European development

Quandela’s presence at GTC Berlin also marks another step in the company’s growing engagement with the German technology and quantum ecosystems.

GTC Berlin follows Quandela’s participation at ISC High Performance in Hamburg, where the company presented its first results on low-latency GPU–QPU integration, and its recent presence at AIDAQ in Berlin, focused on the convergence of AI, data, high-performance computing and quantum technologies.

Germany also plays an important role in Quandela’s industrial strategy.

Quandela works closely with German technology company attocube systems, one of its key European technology partners. The two companies notably collaborated on Lucy, the photonic quantum computer delivered to EuroHPC and GENCI and installed at the CEA’s TGCC in France, combining Quandela’s photonic quantum technology with cryogenic systems developed by attocube.

This industrial collaboration sits within a broader Franco-German effort to strengthen Europe’s quantum ecosystem.

Over the past two years, Quandela has actively contributed to the Franco-German Dialogue on Quantum Technologies, bringing together companies, research institutions, HPC centres and public stakeholders from both countries. In May 2026, Quandela joined CEA, Fraunhofer, CNRS, Inria, Le Lab Quantique, QUTAC and the European Champions Alliance in a joint declaration aimed at accelerating cooperation between the French and German quantum ecosystems.

Thomas Volz, Managing Director of Quandela GmbH, said:

“Germany is strategic for Quandela not simply as a market, but as an industrial, scientific and technological partner. From our cooperation with attocube to our work with the HPC and AI communities, we see a strong opportunity to connect French and German capabilities to build a competitive European quantum computing industry. GTC Berlin is exactly the kind of environment where these worlds — AI, accelerated computing, HPC and quantum — increasingly come together.”

Building the hybrid computing infrastructure of tomorrow

Quandela’s presence at GTC Berlin reflects a broader evolution in quantum computing.

As quantum processors mature, the focus is progressively moving beyond standalone quantum machines toward architectures in which classical and quantum processors can cooperate at increasingly low latency.

For photonic quantum computing, where quantum operations and photon generation can operate at high repetition rates, the speed at which information moves between classical and quantum hardware becomes a fundamental part of overall system performance.

By developing this integration layer today, Quandela aims to prepare photonic QPUs to become deployable accelerators within future AI factories, supercomputing centres and industrial computing infrastructures.

Meet Quandela at NVIDIA GTC Berlin, 20–22 October 2026, at booth no. 7078

About Quandela

Quandela is a global leader in quantum computing, designing, building, and delivering cutting-edge quantum solutions for research and industry. Its offerings include the most energy-efficient quantum computers for data centers, full-stack quantum computing solutions accessible via the cloud, and algorithm access services for academic and industrial customers. Following a pragmatic, step-by-step roadmap, Quandela has been deploying industrial-grade systems since 2023 while developing future generations of fault-tolerant quantum computers capable of scaling through the integration of thousands of photonic components. Quandela is committed to making quantum computing accessible to all in order to address the most complex industrial and societal challenges. Learn more at: Quandela | Leading Photonic Quantum Computing Solutions

Media Relations

Maarc PR agency

• Iva Baytcheva, iva.baytcheva@maarc.fr +33(0)6.28.59.07.03 
• Oréna Cigar, orena.cigar@maarc.fr +33 (0)6 52 02 93 35

The partnership between Quandela and the Korea Research Institute of Bioscience and Biotechnology (KRIBB) aims to develop new use cases combining artificial intelligence, classical computing, and photonic quantum computing to tackle some of the most complex challenges in the life sciences.

Massy, October 7, 2026 – Quandela, a European company, leader in photonic quantum computing, and the Korea Research Institute of Bioscience and Biotechnology (KRIBB), South Korea’s national reference institute for biosciences and biotechnology, signed a Memorandum of Understanding (MoU) in Paris on September 8, 2026, to strengthen their collaboration on applying quantum technologies to advanced biotechnology research and drug discovery.

Through this partnership, Quandela and KRIBB aim to bring together two accelerating fields: life sciences and quantum computing. Their objective is to develop and validate practical applications of photonic quantum computing capable of addressing complex biological challenges, while pioneering new research models that combine artificial intelligence, classical computing, and quantum technologies.

This partnership arrives at a pivotal moment to strengthen Franco-South Korean scientific and technological cooperation. Building on the Memorandum of Understanding signed in Paris on September 8 during South Korean President Lee Jae-myung’s state visit, both nations have committed to deepening collaboration in key strategic sectors, including artificial intelligence, semiconductors, and quantum technologies.

“Our goal is to give researchers new tools for navigating the complexity of biological systems. By combining KRIBB’s bioscience expertise with Quandela’s photonic quantum technology, we aim to accelerate the path from computational insight to experimental validation.” says Suk-Yoon Kwon, President at KRIBB.

Combining AI and quantum technologies to explore new frontiers in biomedical research

By combining KRIBB’s expertise in biotechnology and life sciences with Quandela’s capabilities in photonic quantum computing, both partners aim to develop new approaches for analyzing and solving biological problems characterized by vast search spaces and complex interactions.

Several application areas will be explored: Targeted Protein Degradation (TPD), particularly the design of PROTAC candidates; cellular therapy optimization; the identification of new therapeutic targets for rare diseases; and the analysis of gene regulatory networks involved in infectious diseases.

“Quantum computing becomes meaningful when it helps researchers solve real-world problems. With KRIBB, we are developing hybrid workflows that combine AI, classical computing and photonic quantum computing to create practical, reproducible applications for biotechnology and drug discovery.” says Sam Yoosuk Kim, General Manager of South Korea at Quandela.

At the core of this partnership lies a hybrid computing approach that seamlessly combines artificial intelligence, classical computing, and photonic quantum technologies. AI enables the analysis of large volumes of biological data and progressively narrows down the number of candidates to evaluate. Classical computing resources then handle processing and simulations suited to their architectures, while photonic quantum processors are deployed to explore particularly complex combinatorial optimization problems.

The project seeks to assess how this integrated model can refine the way researchers prioritize and select candidates prior to experimental validation, particularly in drug discovery, cell therapy design, and genetic target identification.

Transforming initial research into reproducible use cases

As part of this collaboration, KRIBB researchers have already shared initial findings generated on Quandela’s platform, with plans to build upon these results for an upcoming scientific publication. For its part, Quandela will analyze these outcomes as a breakthrough use case for photonic quantum computing in biotechnology, aiming to assess their reproducibility and potential to address broader drug discovery challenges.

Training a new generation of researchers at the intersection of biology, AI, and quantum technologies

Beyond joint research, the partnership also focuses on talent development. Both organizations plan to launch joint training programs, hackathons, seminars, scientific workshops, and technology exchange initiatives to support work at the intersection of biosciences, artificial intelligence, and quantum computing.

About Quandela

Quandela is a global leader in quantum computing, designing, building, and delivering cutting-edge quantum solutions for research and industry: providing the most energy-efficient quantum computers for computing centers, comprehensive quantum computing solutions accessible via the cloud, and algorithm access services for academic and industrial customers. Quandela follows a pragmatic and progressive roadmap, deploying industrial systems since 2023 while developing future generations of fault-tolerant quantum computers capable of scaling by integrating thousands of photonic components. Quandela is committed to making quantum computing accessible to all in order to tackle the most complex industrial and societal challenges. For more information: www.quandela.com

About KRIBB

The Korea Research Institute of Bioscience and Biotechnology (KRIBB) is one of South Korea’s leading national research institutes specializing in biotechnology and the life sciences. Founded in 1985, KRIBB works to advance scientific knowledge in areas including molecular biology, genomics, bioinformatics, synthetic biology, and aging research. As a government-funded institute, KRIBB plays a key role in fostering innovation, supporting national research and development strategies, and collaborating with academic and industry partners in South Korea and internationally. For more information: https://www.kribb.re.kr

Press Contacts

Quandela – Maarc Agency

• Iva Baytcheva – iva.baytcheva@maarc.fr – 06 28 59 07 03
• Oréna Cigar – orena.cigar@maarc.fr – 06 52 02 93 35

For IEEE Quantum Week 2026, held in Toronto from September 13 to 18, Quandela is showcasing an approach to progressively integrating quantum computing into existing AI and high-performance computing (HPC) infrastructures with NVIDIA NVQLink. In this approach, the GPU remains at the core of the AI workflow, with the quantum processor (QPU) acting as a specialized accelerator for specific workloads.

Paris, September 14, 2026 – Building on our June announcement of a low-latency integration between a Quandela photonic QPU and NVIDIA AI infrastructure, the companies are publishing a technical white paper today. This paper outlines a vision and architectural framework for gradually integrating quantum computing into current AI and HPC environments.

This approach is based on the complementarity of CPUs, GPUs and QPUs. The CPU orchestrates workflows, while the GPU remains at the center of AI processing, notably handling intensive computation and simulation. The QPU acts as a specialized accelerator for workloads for which quantum computing could bring significant value.

Thanks to the NVIDIA CUDA-Q platform (an open quantum-GPU supercomputing programming platform) and NVIDIA cuQuantum (an SDK optimized for simulating quantum computations on GPUs), algorithms can be developed, simulated and tested on GPU before being run on an actual photonic QPU. NVIDIA NVQLink enables a low-latency connection between the NVIDIA GPU environment and the Quantum System Controller, which then controls the QPU.

Organizations can thus progressively explore quantum applications by relying on their existing computing infrastructure, without having to replace their current environments.

A step toward more accessible quantum computing

By facilitating the integration of quantum computing into current AI and HPC environments, this platform empowers users to experiment, develop, and test quantum applications directly from their standard workflows.

The primary goal is to identify workloads where quantum computing can deliver significant value and progressively bring the most relevant applications to light.

The collaboration follows a three-step approach: Access, Integration & Discovery, and Scale.

• Access allows researchers and organizations to discover and experiment with quantum computing without having their own infrastructure.
• Integration & Discovery involves integrating the QPU into existing CPU and GPU environments to develop, simulate and test various algorithms, and to identify the workloads for which quantum computing could be particularly relevant.
• Scale aims to scale up applications that have demonstrated their potential toward larger, more powerful quantum systems.

This approach allows users to progress step by step toward quantum computing, building on their existing infrastructure and developing new capabilities as high-potential applications are identified.

An architecture presented at IEEE Quantum Week

The architecture developed by Quandela building on NVIDIA technologies will be presented at IEEE Quantum Week 2026 in Toronto on the morning of September 17, at the NVIDIA booth (#600).

At the event, Quandela’s teams will discuss the integration of photonic QPUs into AI and HPC infrastructures with visitors and present their joint publication on this new hybrid architecture combining GPU and QPU computing capabilities.

Jean Senellart, Chief Technology and Product Officer at Quandela states:

“The challenge is no longer just about accessing a QPU, but about integrating it directly into AI workflows. With NVIDIA, we are opening a path where the photonic QPU becomes a specialized accelerator for exploring and validating hybrid algorithms, particularly in QML, before scaling the most promising use cases.”

Sam Stanwyck, Director of Quantum Product at NVIDIA says:

“Quantum computing becomes more useful when it moves beyond standalone access and becomes part of the accelerated computing researchers already use. Our work with Quandela provides a step-by-step model for bringing photonic QPUs into NVIDIA quantum-GPU supercomputing, helping teams identify promising applications today and scale them as more powerful systems come online.”

About Quandela:

Quandela is a global leader in quantum computing, designing, building and delivering cutting-edge quantum solutions for research and industry. Its offering includes the most energy-efficient quantum computers for data centers, cloud-accessible full-stack quantum computing solutions, as well as algorithm access services for academic and industrial clients. Following a pragmatic, step-by-step roadmap, Quandela has been deploying industrial-grade systems since 2023 while developing future generations of fault-tolerant quantum computers, capable of scaling through the integration of thousands of photonic components. Quandela is committed to making quantum computing accessible to all in order to address the most complex industrial and societal challenges. To learn more: Quandela | Leading Photonic Quantum Computing Solutions

Media Relations

Maarc PR agency

• Iva Baytcheva, iva.baytcheva@maarc.fr +33(0)6.28.59.07.03 
• Oréna Cigar – orena.cigar@maarc.fr +33 (0)6 52 02 93 35