Все публикации

0:41:46

Data-driven extraction of relevant information in quantum many-body systems

0:48:52

Reconstructing complexity and effective Hamiltonians

0:25:18

Fine Tuning Neural Network Quantum States

0:19:58

Is the ground state of Anderson's impurity model a recurrent neural network?

0:49:23

Investigating the optimization landscape of neural-network quantum states

0:47:02

Quantum many-body simulations using artificial neural networks

1:12:30

Simulation of quantum many-body systems with neural quantum states 3

1:28:53

Introduction to reinforcement learning in quantum physics 3

1:16:07

Introduction to reinforcement learning in quantum physics 2

1:33:10

Tensor network for machine learning applications 3

1:29:51

Tensor network for machine learning applications 2

1:38:33

Introduction to reinforcement learning in quantum physics 1

1:29:13

Tensor network for machine learning applications 1

1:38:37

Simulation of quantum many-body systems with neural quantum states 2

1:37:54

Simulation of quantum many-body systems with neural quantum states 1

1:10:56

Machine learning for quantum applications 3

1:32:57

Quantum simulations 1

0:46:51

Machine learning for quantum applications 2

0:39:18

Machine learning for quantum applications 1 - Part 1

0:12:31

Machine learning for quantum applications 1 - Part 2

1:34:50

Dual Unitary Circuits: Integrable Chaos and beyond 2

1:26:58

Dual Unitary Circuits: Integrable Chaos and beyond 3

1:28:18

Ergodicity and its breaking through the prism of quantum entanglement 1

1:32:44

Dual Unitary Circuits: Integrable Chaos and beyond 1