
Explore quantum-inspired machine learning advancements, including dequantized algorithms, tensor network approximations, and scalability improvements for healthcare applications and complex systems.

Explore FDA guidelines for AI/ML in medical devices and quantum-inspired machine learning approaches. Gain insights into safe, effective implementations and recent approvals for medical analysis.

Explore dimensionality reduction techniques for high-dimensional medical data. Compare tensor networks with PCA and PLS, gaining insights on their applications and effectiveness in handling complex datasets.

Explore how Tensor Networks enhance explainability and controllability of Large Language Models, focusing on transformer self-attention and multi-layer perceptron layer modifications.

Explore strategies for recoding Large Language Models using tensor network substitutions to enhance explainability, compression, and performance on smaller devices.

Explore advanced protein design using generative AI, focusing on a novel diffusion model for creating proteins with specific mechanical properties. Learn about model architecture and potential tensor network enhancements.

Explore innovative approaches to high-dimensional problem-solving by combining classic methods with tensor networks, unlocking new possibilities in quantum simulations and differential equations.

Explore quantum algorithms for simulating conformal field theory dynamics and local conformal transformations in scaling-symmetric systems.

Explore quantum-circuit models for non-equilibrium many-body physics, focusing on advanced concepts and applications in this cutting-edge field of quantum mechanics.

Explore quantum-circuit models for non-equilibrium many-body physics with Lorenzo Piroli, delving into advanced concepts and theoretical frameworks.

Explore advanced concepts in Low-Density Parity-Check codes, focusing on their applications in quantum error correction and ultra-quantum matter physics.

Explore tensor networks' applications in quantum physics, condensed matter, and machine learning with expert David Pérez-García in this comprehensive workshop.