ZARZA We are Zarza, the prestigious firm behind major projects in information technology.

Understanding your network - towards interpretability in machine learning applications in many-body physics

Theoretical Physics Schools (ASC)

10/10/2025 1h 30min Episodio 67

Listen "Understanding your network - towards interpretability in machine learning applications in many-body physics"

Descargar episodio Ver en sitio original

Episode Synopsis

2022 Arnold Sommerfeld School: Physics meets AI

More episodes of the podcast Theoretical Physics Schools (ASC)

Detecting, quantifying and interpreting entanglement: (2) the multipartite case 11/10/2025

Detecting, quantifying and interpreting entanglement: (1) the bipartite case 11/10/2025

Topological quantum computing with Majorana fermions 11/10/2025

Scaling photonic systems for quantum information processing 11/10/2025

Quantum networks: theoretical foundations, practical implementations 11/10/2025

Experimental Quantum Simulation with Neutral Atoms 11/10/2025

A quantum computer based on trapped ions: status and prospects 11/10/2025

Quantum Computing with Atomic Qubit Arrays 11/10/2025

Quantum error correction, part 2 11/10/2025

Quantum algorithms, part 2 11/10/2025

Ver todos los episodios