Begin your quantum journey
Dive in to discover the fundamental concepts of quantum physics powering the most advanced technology of the 21st century
Learn quantum computing
Learn the different strategies the quantum computing industry is using to combat noise and error in hardware and drive improved performance.
Quantum infrastructure software is a segment pioneered by Q-CTRL, and transforms “bare-metal” quantum processors into useful computational tools compatible with Enterprise cloud architectures.
Q-CTRL cloud architecture allows complex optimization tasks to run faster than any competitive package and over ~10x faster than on a standalone machine.
Quantum computing is just the first application of the quantum tech revolution. Quantum sensing is even more exciting to us because it’s not just limited to information processing - and it’s likely to be here much sooner.
Discover Qiskit Pulse - the first machine-level programming language for quantum computers - and how we can use it to drive major hardware improvements.
Discover how we're moving closer to practical quantum error correction by combining with low-level quantum firmware.
We discuss the importance of reducing errors in quantum hardware in order to achieve practical quantum advantage.
Learn how Quantum Error Correction can enable the quantum computing revolution
Learn how quantum firmware accelerates the performance of quantum computers.
Learn how about the current "noisy" era of quantum computing and what it stands to deliver.
Learn the basics of how to build quantum algorithms for quantum computing.
Discover the fundamentals of quantum physics for quantum computing
Learn how the fragility of quantum hardware lets us detect the undetectable
Discover the technology that will power a new information age
Learn how quantum control accelerates the path to useful quantum technologies.
Take the next step on your journey with short articles to help you understand how quantum computing and sensing will transform the world
Technical webinar series that covers a range of quantum control topics, products and research hosted by our expert team
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.
Characterize your quantum computer faster and easier with automated system identification
Save time and resources by characterizing your quantum hardware and discover why your modeling doesn’t match your device's measurements. Hear firsthand how Boulder Opal makes characterization of a cold ion quantum computer easier, through automated system identification.
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.
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.
How to efficiently characterize quantum computing hardware
In this quantum computing video - part of our Q-CTRL Webinar Series - Dr Michael Hush, Head of Quantum Science & Engineering, and Dr Harry Slatyer, Lead Quantum Product Engineer, will cover the following advanced quantum computing topics: 1) How to use quantum control to characterize unknown system parameters such as Rabi rates, axes of rotation for driven operations, and transmission-line band-limits. 2) How to measure the power spectrum of noise affecting your quantum devices, including special terms arising only in entangling-gate operations. 3) How to minimize spectral leakage in noise spectroscopy through properly shaped measurement pulses. 4) How to apply the novel machine-learning tools developed by the team at Q-CTRL to improve the efficiency and performance of these tasks.
Improving quantum hardware in quantum controls
In this webinar we share our American Physical Society March Meeting presentations and host a live Q&A session with the speakers. The Q-CTRL team cover the following APS March Meeting presentations in this webinar.
Advanced computational tools to help you access the hidden performance of quantum computers
Accelerating the path to quantum advantage with quantum control infrastructure software
An online learning platform for quantum computing designed to upskill individuals and organizations for the quantum era.
Easy-to-use software for running algorithms on cloud quantum computers with automated error suppression.
Quantum control tools for researchers designed to improve and automate quantum hardware performance.