Suppressing errors on real quantum computers

The suppressing errors on real quantum computers webinar explores how quantum control can improve the performance of quantum computing hardware - in the lab or in the cloud. The presentation introduces how to create error-robust quantum logic, and implement solutions on IBM Q hardware using the OpenPulse framework. We describe experiments using model-based optimization and also demonstrate the first use of reinforcement learning to discover novel quantum logic operations that outperform standard gates.

Latest webinars

The latest product updates and research findings presented by our expert team.

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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.

By Yuval Baum PhD, Christopher Bentley PhD, Michael Hush PhD, Anurag Mishra PhD

On demand

Quantum sensing with cold atoms

In this webinar we provide the basics in quantum sensing and its applications, and share how a “software-first” approach leveraging quantum control is essential for realizing the true potential of this emerging technology. You’ll hear just how much this technology has to offer from a team of world-leading experts in the theory and application of quantum sensing.

By Michael Hush PhD, Stuart Szigeti PhD, Russell Anderson PhD

On demand

Choosing a quantum control strategy

Watch this webinar and gain expert insights that empower you to apply quantum control to automate and improve the performance of your hardware, even in the presence of large uncertainties, noise, and decoherence. We’ll help you navigate through the confusing landscape of jargon to confidently choose the best approach for your needs.

By Frank Vincze, Michael Hush PhD, Leonardo Andreta de Castro PhD, Maggie Liuzzi