REGISTER YOUR DETAILS BELOW

CHOOSING A QUANTUM CONTROL STRATEGY

Register now – if you’re interested in learning how new quantum control techniques can push your hardware further and faster, but unsure of the best strategy.

AGENDA

  • How to select the right control-design approach for your needs.

  • The webinar will include a conversational Q&A between the presenters and will field audience questions.

Dr Michael Hush
Chief Scientific Officer

Maggie Liuzzi
Machine Learning Engineer

 PRESENTERS FROM Q-CTRL

Dr Leonardo Andreta de Castro
Senior Quantum Control Engineer

Frank Vincze
Head of Partnerships

WHAT YOU WILL LEARN

  • How to select the right control-design approach for your needs, subject to the constraints you face in your experiment. We will explain the decision process you should apply to choose between optimal control, robust control or learning control.

  • How reinforcement learning can automate the optimization of a quantum system when it is subject to many unknown parameters. 

  • How stochastic optimization can be used in regimes with large uncertainty and noise that have traditionally been out of reach for other control-design strategies. 

  • PhD candidate or postdoc working on quantum technologies who wants to learn about different strategies for quantum control and how they may be relevant to your research. 

  • Quantum hardware engineer who wants to deploy the most effective quantum control algorithms to maximize hardware performance and automate repetitive tasks.

  • Technology analyst who wants to learn how quantum control can help solve some of the critical challenges in quantum computing and quantum sensing.

  • Those newer to quantum control may find benefit in attending, yet some discussion may require additional learnings.

YOU SHOULD ATTEND IF YOU ARE A

© 2021 Q-CTRL. All rights reserved.

TRUSTED BY

Q-CTRL is trusted by the world’s leading quantum computing experts and leaders in information technology.

WEBINAR

Wednesday, September 29th 2021
5pm EDT New York, 2pm PDT Los Angeles, 10pm BST London

SESSION INFORMATION