jens eisert: "learning dynamical laws from data in classical and quantum settings"
Published 4 years ago • 559 plays • Length 47:21Download video MP4
Download video MP3
Similar videos
-
52:10
j. nathan kutz: "coordinates, governing equations and limits of model discovery"
-
35:37
quantum machine learning
-
51:11
jens eisert - do quantum computers have application in machine learning & combinatorial optimization
-
37:07
zala lenarcic - extracting complexity of quantum dynamics using machine learning
-
31:50
jarrod mcclean - dequantization and quantum advantage in learning from experiments - ipam at ucla
-
46:25
daniel liang - learning beyond stabilizer states - ipam at ucla
-
32:48
johnnie gray: "hyper-optimized tensor network contraction - simplifications, applications & appr..."
-
52:27
juan carrasquilla: "simulating quantum dynamics with neural machine translation"
-
54:40
alexander kemper - quantum algorithms for dynamics and dynamical observables - ipam at ucla
-
49:24
kieron burke: "density functionals from machine learning"
-
2:05:09
bobak toussi kiani - quantum machine learning - ipam at ucla
-
22:12
kristan temme: "a rigorous and robust quantum speed-up in supervised machine learning"
-
1:17:52
matthias caro: topics in quantum machine learning
-
39:35
emily fox: "interpretable neural network models for granger causality discovery"
-
48:34
nandini ananth - quantum dynamics from classical trajectories - ipam at ucla
-
1:02:08
alexandre tkatchenko - fully quantum (bio)molecular simulations: dream or reality? - ipam at ucla