Tensorflow quantum

Imam Abdulrahman Bin Faisal University - Dammam, Saudi Arabia

TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models.

Oct 31, 2020, 4:00 – 5:00 PM

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Key Themes

Machine Learning

About this event

TensorFlow Quantum focuses on quantum data and building hybrid quantum-classical models.

 It integrates quantum computing algorithms and logic designed in Cirq, and provides quantum computing primitives compatible with existing TensorFlow APIs,

 along with high-performance quantum circuit simulators. 

Speaker

  • Mohammed Bu-Allay

    Google Developer Expert

Partner

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CCSIT CLUB

Organizers

  • Abdullah Almubarak

    IAU

    GDSC Lead

  • Rahaf Alghamdi

    IAU

    GDSC Lead W

  • Hassan Alzayer

    IAU

    Head of Activities Committee

  • Fatimah Alaliwat

    IAU

    Vice Head of Activities Committee

  • Anfal Bamardouf

    Head of Media Committee

  • Lujain Alshubini

    Vice Head of Media Committee

  • Raneem Alturki

    IAU

    Head of Publication Committee

  • Hawra Alsedrah

    Vice Head of Publication Committee

  • Haneen Al-Ghzaly

    IAU

    Responsible for monitoring the GDSC Bevy

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