From automation to algorithms

An introduction to building autonomy in the operation of quantum computing hardware and how the improved error rates we achieve impact on algorithmic success.

April 1, 2021

In this webinar, we'll show you how to get maximum performance from quantum hardware. We'll show you how to implement reinforcement learning for error-robust control on cloud-based superconducting hardware and how to design error-robust controls in quantum algorithms. Our team of experts will also demonstrate a real-world application for quantum computers with optimized quantum solutions for vehicle routing problems.

Speakers

  • Yuval Baum

    ,

    Head of Quantum Control Research

    ,

    Q-CTRL

  • Michael Hush

    ,

    Chief Scientific Officer

    ,

    Q-CTRL

  • Chris Bentley

    ,

    Lead Solutions Engineer

    ,

    Q-CTRL

  • Anurag Mishra

    ,

    Lead Quantum Product Engineer

    ,

    Q-CTRL

References

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