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  3. Taking stock of quantum machine learning—a critical perspective

May 07, 2021

Taking stock of quantum machine learning—a critical perspective

Maria Schuld

Maria Schuld

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.

About the author

Maria Schuld
Maria Schuld

Maria Schuld

Dedicated to making quantum machine learning a reality one day.

Last modified: August 06, 2024

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PennyLane is an open-source software framework for quantum machine learning, quantum chemistry, and quantum computing, with the ability to run on all hardware. Built with ❤️ by Xanadu.

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