Chapter
Quantum tricks for better machine learning
1:03:41 - 1:08:48 (05:06)
Researchers have shown that even simple machine learning problems can benefit from quantum mechanics' clever problem-solving techniques, providing insight into why deeper networks are effective. There is potential for quantum computers to aid in the training of neural networks in the future.
Clips
The speakers discuss the potential of deeper networks and quantum computing in achieving Artificial General Intelligence (AGI), highlighting how simple problems can be solved using deeper networks and the challenge of building a quantum computer for AGI.
1:03:41 - 1:07:20 (03:38)
Summary
The speakers discuss the potential of deeper networks and quantum computing in achieving Artificial General Intelligence (AGI), highlighting how simple problems can be solved using deeper networks and the challenge of building a quantum computer for AGI.
ChapterQuantum tricks for better machine learning
EpisodeMax Tegmark: Life 3.0
PodcastLex Fridman Podcast
Quantum mechanics is really good at finding the minimum or lowest energy state, and because of their ability to tunnel through barriers, they can be useful in training neural networks.
1:07:20 - 1:08:48 (01:27)
Summary
Quantum mechanics is really good at finding the minimum or lowest energy state, and because of their ability to tunnel through barriers, they can be useful in training neural networks. The use of quantum computers can potentially improve the learning process of neural networks.