MERLIN

MerLin is a photonic quantum machine learning framework that brings the power of Hybrid Quantum–Classical Algorithms directly into your AI models—no quantum expertise required. Built ML and AI practitioners, MerLin provides PyTorch-compatible quantum layers that enhance your neural networks with the unique computational advantages of quantum processing.

Built for today, ready for tomorrow

MerLin combines GPU-optimized simulators with direct access to Quandela’s photonic quantum processors available through the cloud.

• On simulators: prototype large-scale models with high photon counts, accelerated by NVIDIA CUDA-Q for superior performance.
• On hardware: execute your models on real quantum devices today, gaining access to genuine photonic quantum behavior.
• Future-proof: models developed in MerLin are portable to the next generation of fault-tolerant quantum computers, aligned with Quandela’s roadmap.

This dual pathway ensures your work is both practical now and scalable for the future.

Unlock the advantages of Quantum Machine Learning

MerLin makes the benefits of Quantum Machine Learning accessible to AI practitioners today:

• Improved accuracy
• Resource efficiency and lower energy usage
• Better scalability, enabling larger and more complex models
• Faster convergence, accelerating training loops with hybrid optimization

For developers, researchers and enterprises

Whether you’re an AI developer looking to improve model performance, a quantum researcher exploring new architectures, or an enterprise team building future-proof applications, MerLin provides the tools you need. Add quantum layers to reduce parameter counts, accelerate learning, and access cutting-edge photonic quantum computing—all through a familiar PyTorch interface.