Q-CTRL digest
Building HPC-native quantum integrations with Q-CTRL and NVIDIA NVQLink
March 16, 2026
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
,
VP of Quantum Computing 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
News and updates
Read the latest company news, quantum research, and product updates from Q-CTRL.
Documentation
Learn how Q-CTRL provides the critical software to help you do more with your hardware.
Research
Background material and research developed by the Q-CTRL team.
Glossary
Learn the most common terms and frequently asked questions in quantum computing and quantum sensing.
