Bonus Episode: A Quantum Machine Learning Algorithm Takedown with Ewin Tang - TWiML Talk #246
Published:Apr 1, 2019 18:40
•1 min read
•Practical AI
Analysis
This podcast episode features an interview with Ewin Tang, a PhD student, discussing her paper on a classical algorithm inspired by quantum computing for recommendation systems. The episode highlights the impact of Tang's work, which challenged the quantum computing community. The interview is framed as a 'Nerd-Alert,' suggesting a deep dive into technical details. The episode's focus is on the intersection of quantum computing and machine learning, specifically exploring how classical algorithms can be developed based on quantum principles. The podcast aims to provide an in-depth understanding of the algorithm and its implications.
Key Takeaways
Reference
“In our conversation, Ewin and I dig into her paper “A quantum-inspired classical algorithm for recommendation systems,” which took the quantum computing community by storm last summer.”