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

Transcript

Latest webinars

View all

On demand

How quantum computers can improve logistics problems

One of the biggest opportunities for quantum computing is logistics optimization. Learn about the quantum solution developed by Australian Army and Q-CTRL.

February 22, 2024

On demand

Unlock maximum performance on IBM Quantum services

Discussing our partnership of Q-CTRL performance management integrated with IBM Quantum services making it simpler to get useful results from real hardware.

December 14, 2023

On demand

Accelerating the path to useful Quantum Error Correction

Learn how Nord Quantique is making progress in the quantum error correction (QEC) space using Boulder Opal, our computational tool for quantum control.

December 1, 2023