Taking stock of quantum machine learning—a critical perspective

PennyLane Team

PennyLane’s very own Maria Schuld recently gave a talk at the inaugural QML Meetup, summarizing some critical quantum machine learning insights. Check out the video below to learn why variational quantum models have a scaling problem, why the way we encode data must become more than an incidental choice, and why quantum speedups have to take into account learning theory.

For more info on the QML meetup, please join the Quantum Open Source Foundation (QOSF) slack channel and contact Aroosa Ijaz, Amira Abbas, or Antal Szava.



Tags: qml
Last modified: 14:05, 07 May 2021