Quandela Quantum Computing And Mila Partner On Quantum-AI
Quantum Quandela Computing
Quandela and Mila Create Quantum Computing-AI Hybrids
Mila, the Quebec Artificial Intelligence Institute, and Quandela, a European leader in photonic quantum computing, have formed a strategic cooperation to investigate hybrid quantum-machine learning technology. This alliance creates and evaluates cutting-edge quantum machine learning (QML) models to put both organisations at the forefront of this rapidly emerging technology. Valérian Giesz, Quandela's co-founder and COO, calls this collaboration a “crucial step” in the company's goal to apply quantum computing to AI. He believes Quandela's photonic quantum computing expertise and Mila's artificial intelligence expertise can accelerate the development of industry-changing solutions. Guillaume Rabusseau, an assistant professor at the University de Montréal and a Core Academic Member at Mila, calls the intersection of AI and quantum computing “great potential”. He says this relationship allows him to study how quantum approaches could improve and change machine learning paradigms. Key Partnership Objectives
Quandela and Mila will collaborate on four main areas: Benchmarking compares traditional approaches to quantum machine learning (QML) models utilising structured data. Identifying quantum advantages: When quantum approaches can increase scalability, precision, and resource use. Training challenges: Creatively solving well-known quantum model training difficulties. Experimental validation: Assessing QML's real-world applications using simulations and quantum hardware tests. Increased Canadian Presence This agreement significantly boosts Quandela's Canadian growth. Quandela then installs a quantum computer in Sherbrooke. Quandela said its growing presence shows its commitment to supporting Canada's quantum ecosystem, which is world-renowned. Valérian Giesz said Quandela's quantum technology deployment in Sherbrooke and this collaboration show their long-term goal for Canada. He praised Canada's innovative ecosystem. About Organisations Quandela, a major quantum computing company, offers cloud-accessible quantum processors, datacenter quantum computers, and algorithm access services for industrial clients. Making quantum computing accessible to solve complex industrial and societal concerns is its goal. University of Montreal Professor Yoshua Bengio founded Mila, the largest academic deep learning research centre in the world. In Montreal, almost 1,300 machine learning experts work together. Under the Pan-Canadian AI Strategy, the Government of Canada partially funds Mila, a global centre for scientific discoveries that drive innovation and AI growth for all. Mila, a globally famous non-profit, has made significant contributions to deep learning, particularly in generative models, machine translation, object recognition, and language modelling. Related Quantum AI Developments Other than the Mila partnership, Quandela has made significant advances in AI and quantum computing: Partnership with AdvanThink to Detect Payment Fraud: Quandela strategically teamed with European real-time payment fraud protection pioneer AdvanThink. This alliance uses AI and quantum computing to construct fast, accurate payment fraud detection algorithms. A proof of concept using quantum machine learning algorithms in AdvanThink's industrial pipelines is underway. This partnership will help integrate and test Quandela's quantum machine learning model, which increases credit risk assessment and payment fraud detection. MerLin Quantum Computing Framework Introduction: MerLin, Quandela's quantum computing architecture for AI data scientists, is groundbreaking. MerLin was launched at NVIDIA GTC Paris as the “quantum layer for data scientists”. The goal is to democratise quantum machine learning by abstracting quantum complexity into classical AI operations like PyTorch and scikit-learn integrations to enable practitioners to easily build hybrid quantum-classical models. MerLin's innovations include GPU-optimized simulators that use NVIDIA CUDA-Q to simulate photonic quantum circuits at high performance, benchmark-driven advancements that create repeatable metrics for hybrid algorithms, and a photonics-focused design that is future-proof for next-generation hardware. Mila researchers are early adopters. MerLin will be public to accelerate adoption.