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Toby Cubitt, co-founder, CTO, and Chief Science Officer of Phasecraft

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Manage episode 507869266 series 3691213
Content provided by Yuval Boger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Yuval Boger 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://podcastplayer.com/legal.

Toby Cubitt, the person with the best name in quantum, is interviewed by Yuval Boger. Toby is also co-founder, CTO, and Chief Science Officer of Phasecraft, a quantum algorithms company developing highly efficient algorithms tailored for near-term quantum hardware. We discuss Phasecraft’s approach to bridging the gap between quantum demonstrations and useful applications, the role of hybrid quantum-classical algorithms in accelerating materials science, the importance of optimizing for specific hardware platforms, and the critical need for higher gate fidelities in quantum computing. Toby also shares his thoughts on when quantum computing might deliver commercially useful results, his views on AI’s synergy with quantum, and much more.

  continue reading

143 episodes

Artwork
iconShare
 
Manage episode 507869266 series 3691213
Content provided by Yuval Boger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Yuval Boger 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://podcastplayer.com/legal.

Toby Cubitt, the person with the best name in quantum, is interviewed by Yuval Boger. Toby is also co-founder, CTO, and Chief Science Officer of Phasecraft, a quantum algorithms company developing highly efficient algorithms tailored for near-term quantum hardware. We discuss Phasecraft’s approach to bridging the gap between quantum demonstrations and useful applications, the role of hybrid quantum-classical algorithms in accelerating materials science, the importance of optimizing for specific hardware platforms, and the critical need for higher gate fidelities in quantum computing. Toby also shares his thoughts on when quantum computing might deliver commercially useful results, his views on AI’s synergy with quantum, and much more.

  continue reading

143 episodes

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