Quantum computers have the potential to solve big scientific problems that are beyond the reach of today’s most powerful supercomputers, such as discovering new antibiotics or developing new materials. But to achieve these breakthroughs, quantum computers will need to perform better than today’s best classical computers at solving real-world problems. And they’re not quite there yet. So what is still holding quantum computing back from becoming useful?

We speak to quantum computing expert Daniel Lidar at the University of Southern California in the US about what problems scientists are still wrestling with when it comes to scaling up quantum computing, and how close they are to overcoming them.

This episode was written and produced by Gemma Ware and Katie Flood with production assistance from Mend Mariwany and sound design by Michelle Macklem. Our theme music is by Neeta Sarl. Full credits for this episode are available. Sign up here for a free daily newsletter from The Conversation.

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Further reading:

How close are quantum computers to being really useful?

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