TorchQuantum Tutorial Opening: Intersection of Quantum and Machine Learning

This is the opening video for the TorchQuantum Tutorial. We introduce the two directions in Quantum + ML: first, Quantum for ML, which means using quantum machines to accelerate and improve ML accurac; second, ML for Quantum, which means using classical ML to optimize quantum computer systems.

Website: qmlsys.mit.edu
TorchQuantum link: https://github.com/mit-han-lab/torchquantum

Authors:
Hanrui Wang, https://hanruiwang.me

Видео TorchQuantum Tutorial Opening: Intersection of Quantum and Machine Learning канала MIT HAN Lab