Quandela Unveils its 2024-2030 Roadmap

Paris – Saclay, June 17, 2025 

AdvanThink, Europe’s leading expert in real-time payment fraud detection, and Quandela, a leader in quantum computing, have established a strategic partnership aimed at transforming the future of payment fraud prevention.  

The Promise: By leveraging the complementary strengths of AI and quantum computing, the two companies aim to develop high-performance fraud detection models designed for real-world deployment. These systems will be capable of identifying payment fraud faster and with greater accuracy than existing solutions.

Detecting payment fraud in real time remains one of today’s most significant technological, operational, and strategic challenges. In response to constantly evolving fraud techniques, AdvanThink has spent 35 years building strategic tools powered by artificial intelligence that continuously learn and adapt to emerging threats. In this ongoing race to improve performance, artificial intelligence has become an essential tool, capable of detecting subtle warning signs across large volumes of data with unprecedented precision and speed. 

Future requirements will be even more demanding. Fraud detection models will need to be faster, more accurate, more energy-efficient, and more resilient against increasingly sophisticated attacks. It is within this context that AdvanThink and Quandela have joined forces to explore the potential of quantum computing and push the boundaries of state-of-the-art fraud detection. 

The first phase of this partnership will focus on developing a proof of concept that demonstrates the value of integrating quantum machine learning algorithms into AdvanThink’s industrial pipelines.

“For 35 years, AdvanThink has placed technological innovation at the heart of its development strategy. Quantum AI holds a significant promise when it comes to fraud detection. It serves as a powerful catalyst for innovation in building the secure payment solutions of tomorrow – and financial institutions need to begin acknowledging this transformation today. We have already successfully integrated Quandela’s technology into an AdvanThink pipeline, meeting all the requirements of an industrial-grade system ready for deployment. This first demonstrator holds great potential for experts in fraud detection,” says Brice Perdrix, CEO of AdvanThink.

“Quandela has already developed a quantum machine learning model that enhances credit risk assessment. The algorithm also shows strong potential in payment fraud detection. Quandela’s partnership with AdvanThink facilitates the integration of this model into an industrial workflow and enables benchmarking against the best products on the market,” adds Niccolo Somaschi, co-founder and CEO of Quandela.

Launching at GTC Paris, MerLin democratizes quantum machine learning by integrating with classical AI tools—backed by GPU-accelerated performance 

Paris, France – June 11^th – Today, Quandela announces MerLin, a groundbreaking quantum computing framework designed for and by AI data scientists. Set to debut at NVIDIA GTC Paris, MerLin redefines quantum machine learning (QML) with a GPU-first approach, enabling researchers to simulate and benchmark algorithms beyond the limits of today’s quantum hardware. 

Quantum Meets AI: A Collaborative Future 

MerLin positions itself as the “quantum layer for data scientists” – contrasting with other quantum machine learning tools that target quantum scientists. By abstracting quantum complexity into familiar workflows (e.g., PyTorch/scikit-learn integrations), MerLin empowers AI practitioners to prototype hybrid quantum-classical models in hours, not months. Early adopters – including teams from the Perceval Quest, and researchers from Mila, NYUAD’s QML Lab and Scaleway – are collaborating with us to leverage MerLin and bridge classical and quantum workflows. 

“Quantum shouldn’t demand a PhD to use,” said Niccolo Somaschi, co-founder & CEO of Quandela. “MerLin gives data scientists a GPU-accelerated gateway to quantum advantage while ensuring their work remains compatible with real hardware today—and tomorrow. By integrating benchmarks and noise-aware validation, we’re addressing a critical gap: the lack of reproducible metrics in hybrid algorithm research.” 

“Powerful simulation tools are essential to develop better algorithms and accelerate the path to broad quantum advantage”, said Sam Stanwyck, Group Product Manager for quantum computing at NVIDIA. “MerLin solves a critical ecosystem need by opening the door for the broader research community to develop with photonic quantum circuits.” 

Key Innovations 

1. GPU-Optimized Simulators: 

• Leveraging NVIDIA CUDA-Q, MerLin delivers high-performance simulation for photonic quantum circuits, enabling tests for hardware that doesn’t yet exist (e.g., 24+ qubit systems). 

2. Benchmark-Driven Progress: 

• MerLin establishes reproducible metrics for hybrid algorithms, addressing the “benchmarking gap” in QML research—where thousands of papers lack standardized comparisons. 

• Integrated with Quandela Cloud, it enables immediate validation of GPU-optimized algorithms on real photonic hardware, studying noise impact and scalability. 

• Targets pragmatic use cases like quantum-enhanced kNN, GANs, and variational algorithms—backed by hardware-aware compilation. 

3. Photonic-First, Future-Proof: 

• Designed for today’s photonic QPUs (e.g., Perceval-based systems) but architected to adapt to next-gen hardware. 

• Features like dynamic circuit recompilation ensure code scalability across hardware generations. 

Who Uses MerLin? 

• AI/ML Practitioners: Prototype quantum layers without rewriting classical pipelines. 

• Quantum Researchers: Access photonic-specific tools (e.g., boson sampling) with GPU-accelerated simulation. 

• Enterprises: Pilot hybrid quantum-AI workflows with clear ROI benchmarks. 

“MerLin allowed us to adapt existing algorithms to a photonic-native format within a short timeframe. The platform offered useful comparative insights that contributed to our ongoing research and publication efforts”, said Dr. Louis Chen, an early user, Research Associate at the Quantum Centre of Imperial College London (Imperial QuEST) and participant in the most recent Perceval Quest.

Availability & Strategic Vision 

MerLin will be freely accessible to accelerate adoption, with enterprise tiers for advanced features. The roadmap includes: 

• Q2 2025: Stable PyTorch/scikit-learn APIs. 

• 2026+: Support for 24+ qubit photonic systems. 

Learn More: merlinquantum.ai 

WITTENSTEIN and Quandela underscore European innovative strength

Two leading technology companies from Germany and France are joining forces to help shape Europe’s future in quantum computing: attocube systems GmbH, a company of the WITTENSTEIN group and specialist in nanotechnology, and Quandela, a pioneer in photonic quantum computer technology. The companies have been working together on the development of the European quantum computer Lucy. Representatives of the owners, Management Board and senior management of the WITTENSTEIN group took advantage of a visit to Paris to meet with the Quandela team and assess the status of the joint project.

Lucy is no ordinary computer. It is based on light particles – known as photons – and belongs to a new generation of quantum computers that are opening up completely new possibilities in areas such as artificial intelligence, cyber security, and materials research. The quantum computer was commissioned by the European High Performance Computing Joint Undertaking (EuroHPC JU) following a competitive tender process won by the Quandela-attocube consortium.

The collaboration between Quandela and attocube demonstrates how European companies can work together to achieve technological excellence. While Quandela is developing the photonic quantum platform, attocube is supplying high-precision cryogenic systems—technology that generates the extremely low temperatures required for quantum processes.

The visit to France focused on technical progress and system integration. The participants discussed how quantum and classical computers can be combined even more effectively in the future—for example, for hybrid applications in AI or complex simulations.

“Lucy is more than a technical project – she is a symbol of European innovation,” said Dr. Bertram Hoffmann, CEO of WITTENSTEIN SE. Niccolo Somaschi, co-founder and CEO of Quandela, added: “Lucy stands for technological excellence and for the common goal of making Europe a world leader in quantum computing.”

Lucy is scheduled to go into operation later this year. It will be based at the French supercomputer center CEA TGCC, where it will serve as the cornerstone of a sovereign European quantum ecosystem.