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Bob Coecke Speaks With Entangled Things

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Manage episode 326007772 series 2871917
İçerik Entangled Things tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Entangled Things veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

In Episode 32, Patrick and Ciprian speak with Bob Coecke, Chief Scientist at Quantinuum.
Among other topics, the team discuss the limitations of traditional natural language processing, how quantum natural language processing can be used in the future, and what problems it can solve.
Bob Coecke is Chief Scientist at Cambridge Quantum / Quantinuum.

He also heads the Oxford-based Compositional Intelligence & Quantum NLP team and is Emeritus Professor at Wolfson College, Oxford University.

Previously, he was Professor of Quantum Foundations, Logics and Structures at the Computer Science department at Oxford University, where he was for 20 years, and co-founded, built, and led a multi-disciplinary research group of up to 50 people.

He supervised 66 PhD students. He pioneered Categorical Quantum Mechanics (now in AMS's MSC2020 classification), ZX-calculus, DisCoCat natural language meaning, mathematical foundations for resource theories, Quantum Natural Language Processing, and is co-author of Picturing Quantum Processes, a book providing a fully diagrammatic treatment of quantum theory and its applications.

He co-authored close to 200 research papers.

He's a founding father of the QPL (Quantum Physics and Logic) and ACT (Applied Category Theory) communities, the diamond open access journal Compositionality, and Cambridge University Press' Applied Category Theory book series.

He was the first person to have Quantum Foundations as part of his professorial title. His work headlined in various media outlets, including Forbes, New Scientist, PhysicsWorld, ComputerWeekly.

  continue reading

83 bölüm

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iconPaylaş
 
Manage episode 326007772 series 2871917
İçerik Entangled Things tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Entangled Things veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

In Episode 32, Patrick and Ciprian speak with Bob Coecke, Chief Scientist at Quantinuum.
Among other topics, the team discuss the limitations of traditional natural language processing, how quantum natural language processing can be used in the future, and what problems it can solve.
Bob Coecke is Chief Scientist at Cambridge Quantum / Quantinuum.

He also heads the Oxford-based Compositional Intelligence & Quantum NLP team and is Emeritus Professor at Wolfson College, Oxford University.

Previously, he was Professor of Quantum Foundations, Logics and Structures at the Computer Science department at Oxford University, where he was for 20 years, and co-founded, built, and led a multi-disciplinary research group of up to 50 people.

He supervised 66 PhD students. He pioneered Categorical Quantum Mechanics (now in AMS's MSC2020 classification), ZX-calculus, DisCoCat natural language meaning, mathematical foundations for resource theories, Quantum Natural Language Processing, and is co-author of Picturing Quantum Processes, a book providing a fully diagrammatic treatment of quantum theory and its applications.

He co-authored close to 200 research papers.

He's a founding father of the QPL (Quantum Physics and Logic) and ACT (Applied Category Theory) communities, the diamond open access journal Compositionality, and Cambridge University Press' Applied Category Theory book series.

He was the first person to have Quantum Foundations as part of his professorial title. His work headlined in various media outlets, including Forbes, New Scientist, PhysicsWorld, ComputerWeekly.

  continue reading

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