At Heisenberg Quantum AI, we integrate quantum mechanics principles with classical computing to enhance your existing machine learning models.

Design and simulation of quantum algorithms using formal frameworks like Heisenberg, Schrödinger, and tensor networks.

Making neural networks interpretable using novel mathematical methods and optimizing AI systems using quantum-inspired techniques.

Building generative models using quantum-inspired architectures and developing quantum encoding for structured learning.

Simulation of quantum and hybrid systems for real-world applications like material science, quantum gravity, and renewable energy.