Webinar: From automation to algorithms

This webinar introduces Q-CTRL’s new tools to build autonomy in the operation of quantum computing hardware, and how the improved error rates we achieve impact on algorithmic success. Hosted by Dr Michael Hush Chief Scientific Officer at Q-CTRL.

WEBINAR AGENDA:

Reinforcement learning for error-robust control on cloud-based superconducting hardware [Part I]; Dr Yuval Baum, Lead Quantum Automation Scientist.

Reinforcement learning for error-robust control on cloud-based superconducting hardware [Part II]; Dr Mirko Amico, Senior Quantum Control Engineer.

Error-robust controls in quantum algorithms; Dr Anurag Mishra, Senior Quantum Control Engineer.

Optimized quantum solutions for vehicle routing problems; Dr Christopher Bentley, Senior Quantum Control Engineer.

The webinar includes a conversational Q&A with the presenters.

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