Introduction to A Classical Algorithm Framework For Dequantizing Quantum Machine Learning
Welcome to our comprehensive guide on A Classical Algorithm Framework For Dequantizing Quantum Machine Learning. Ewin Tang (University of Washington) https://simons.berkeley.edu/talks/tbd-134
A Classical Algorithm Framework For Dequantizing Quantum Machine Learning Comprehensive Overview
An invited talk by Ewin Tang at the 14th Conference on the Theory of Exploring how Jarrod McClean, the 2015 Alvarez Fellow in Computing Sciences at Berkeley Lab, is now with Google
The video introduces
Summary & Highlights for A Classical Algorithm Framework For Dequantizing Quantum Machine Learning
- IBM
- Towards a Rigorous
- Iordanis Kerenidis (CNRS / QC Ware) https://simons.berkeley.edu/talks/tbd-128
- Full title: Sampling-based sublinear low-rank matrix arithmetic
- Speaker: Antonio Mezzacapo Host: Zlatko Minev, Ph.D. Title:
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