Q-CTRL digest
From theory to practice - open-ended Projects in Black Opal prepare learners for real-world quantum challenges
November 11, 2024
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
