Formalizing the Future: Lean’s Impact on Mathematics, Programming, and AI

Formalizing the Future: Lean’s Impact on Math...

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Strachey Lecture: Use or Be Used - Regaining Control of AI

It’s said that Henry Ford’s customers wanted a “a faster horse”. If Henry Ford was selling us artificial intelligence today, what would the customer call for, “a smarter human”? That’s certainly the picture of machine intelligence we find in science fiction narratives, but the re ...  Afficher plus

Advances in Garbled Circuits

MT25 Strachey Lecture - Professor Rafail Ostrovsky: Advances in Garbled Circuits Nearly 40 years ago, Andy Yao proposed the construction of “Garbled Circuits,” which had an enormous impact on the field of secure computation -- both in theory and in practice. In Garbled Circuits, ...  Afficher plus

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Séminaire - Immanuel Bloch : Quantum Simulation and Quantum Computing with Fermions
Physique de la matière condensée - Antoine Georges

Antoine GeorgesPhysique de la matière condenséeAnnée 2024-2025Fermions froids et simulation quantiqueSéminaire - Immanuel Bloch : Quantum Simulation and Quantum Computing with FermionsImmanuel BlochMax Planck Institute et LMU, MunichRésuméQuantum simulation has emerged as an inte ...  Afficher plus

La suprématie quantique
La base

La suprématie quantique est un concept qui désigne le moment où un ordinateur quantique effectue un calcul qu’un ordinateur classique ne peut pas réaliser en un temps raisonnable. Ce terme a été popularisé par John Preskill, un physicien théoricien, en 2012. Il symbolise une é ...

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PQC & Math Culture with Krystal A. Maughan [UVM], [RQS - QSim]
Quantum Computing Now

Before you listen! Helpful Acronyms to deal with the jargon: - PQC = Post Quantum Cryptography, area within quantum computing & cryptography where researchers are developing quantum-safe protocols resilient against quantum cryptography attacks. - LDPC Codes = Low Density Parity C ...  Afficher plus

LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
Learning Machines 101

This 86th episode of Learning Machines 101 discusses the problem of assigning probabilities to a possibly infinite set of outcomes in a space-time continuum which characterizes our physical world. Such a set is called an "environmental event". The machine learning algorithm uses ...  Afficher plus