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    Quantum Devices in Graphene by Klaus Ensslin
    International Centre for Theoretical Sciences

    Quantum Devices in Graphene by Klaus Ensslin

    Superconducting Qubits - Lecture 1
    International Centre for Theoretical Sciences

    Superconducting Qubits - Lecture 1

    Introduction to Quantum Information Theory - Lecture 3
    International Centre for Theoretical Sciences

    Introduction to Quantum Information Theory - Lecture 3

    Superconducting Qubits - Lecture 3
    International Centre for Theoretical Sciences

    Superconducting Qubits - Lecture 3

    Quantum Error Correction - Lecture 4
    International Centre for Theoretical Sciences

    Quantum Error Correction - Lecture 4

    Strong Backaction on a Mechanical Resonator by a Few Photons
    International Centre for Theoretical Sciences

    Strong Backaction on a Mechanical Resonator by a Few Photons

    Understanding Quantum Advantage in Unsupervised Machine Learning
    International Centre for Theoretical Sciences

    Understanding Quantum Advantage in Unsupervised Machine Learning

    Field Driven Physics of a Kitaev Magnet by Adhip Agarwala
    International Centre for Theoretical Sciences

    Field Driven Physics of a Kitaev Magnet by Adhip Agarwala

    Quantum State Steering Using Weak Quantum Measurements by Parveen Kumar
    International Centre for Theoretical Sciences

    Quantum State Steering Using Weak Quantum Measurements by Parveen Kumar

    Fractional Statistics of Anyons in Mesoscopic Colliders by Gwendal Feve
    International Centre for Theoretical Sciences

    Fractional Statistics of Anyons in Mesoscopic Colliders by Gwendal Feve

    CES 2024 Experience: AI Technology Trends and Future Innovations
    Matt Wolfe

    CES 2024 Experience: AI Technology Trends and Future Innovations

    Discovering Quantum Error Correcting Codes with Reinforcement Learning
    Alan Turing Institute

    Discovering Quantum Error Correcting Codes with Reinforcement Learning

    AI with a Human Perspective - What We See and What We Value
    Paul G. Allen School

    AI with a Human Perspective - What We See and What We Value

    Shrinking Deep Learning Models: Techniques and Energy Considerations
    media.ccc.de

    Shrinking Deep Learning Models: Techniques and Energy Considerations

    Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning
    Institute for Pure & Applied Mathematics (IPAM)

    Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning

    Hybrid Variational Algorithms for Classical and Quantum Complex Systems
    Institute for Pure & Applied Mathematics (IPAM)

    Hybrid Variational Algorithms for Classical and Quantum Complex Systems

    Introduction to Quantum Information Science - Part II
    Institute for Pure & Applied Mathematics (IPAM)

    Introduction to Quantum Information Science - Part II

    Introduction to Quantum Information Science - Part I
    Institute for Pure & Applied Mathematics (IPAM)

    Introduction to Quantum Information Science - Part I

    Advancing Weather and Climate Prediction with Data-Driven Methods
    Paul G. Allen School

    Advancing Weather and Climate Prediction with Data-Driven Methods

    Artificial Intelligence: A Guide for Thinking Humans - Interview with Melanie Mitchell
    AAAS Annual Meeting

    Artificial Intelligence: A Guide for Thinking Humans - Interview with Melanie Mitchell

    Designing an Architecture for Physics-Informed Machine Learning - Part 3
    Steve Brunton

    Designing an Architecture for Physics-Informed Machine Learning - Part 3