Artificial 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.