What is quantum machine learning, really? 

Visit The Coherence Times podcast page to get more AI content → https://www.ibm.com/think/podcasts/the-coherence-times Aritificial intelligence has transformed the way researchers explore some of the world’s biggest problems, but what happens when machine learning meets quantum computing? The topic of quantum machine learning has generated enormous interest in recent years, but fundamental questions remain: What specifically counts as QML? Where might quantum computers deliver computational advantages over classical AI? What would a convincing demonstration of that advantage actually look like? In this episode of The Coherence Times, we sit down with IBM Research’s Kunal Sharma and EPFL’s Zoe Holmes to explore the rapidly evolving field of quantum machine learning. Together, they discuss the complex relationship between quantum computing and AI, how AI can help improve quantum algorithms, and what it will take for quantum machine learning to move from theory to practical applications. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Want to learn more about quantum computing and quantum machine learning? Head to the Learning page on IBM Quantum Platform (https://quantum.cloud.ibm.com/). New users can create a free account and get started today.