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Why AI could eat quantum computing’s lunch

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Content provided by MIT Technology Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT Technology Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Tech companies have been funneling billions of dollars into quantum computers for years. The hope is that they’ll be a game changer for fields as diverse as finance, drug discovery, and logistics.

Those expectations have been especially high in physics and chemistry, where the weird effects of quantum mechanics come into play. In theory, this is where quantum computers could have a huge advantage over conventional machines.

But while the field struggles with the realities of tricky quantum hardware, another challenger is making headway in some of these most promising use cases. AI is now being applied to fundamental physics, chemistry, and materials science in a way that suggests quantum computing’s purported home turf might not be so safe after all.

This story was written by Edd Gent and narrated by Noa - newsoveraudio.com.

  continue reading

118 episoade

Artwork
iconDistribuie
 
Manage episode 466248414 series 2770555
Content provided by MIT Technology Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT Technology Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Tech companies have been funneling billions of dollars into quantum computers for years. The hope is that they’ll be a game changer for fields as diverse as finance, drug discovery, and logistics.

Those expectations have been especially high in physics and chemistry, where the weird effects of quantum mechanics come into play. In theory, this is where quantum computers could have a huge advantage over conventional machines.

But while the field struggles with the realities of tricky quantum hardware, another challenger is making headway in some of these most promising use cases. AI is now being applied to fundamental physics, chemistry, and materials science in a way that suggests quantum computing’s purported home turf might not be so safe after all.

This story was written by Edd Gent and narrated by Noa - newsoveraudio.com.

  continue reading

118 episoade

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