Our work

The next generation of quantum knowledge

Learn quantum computing and accelerate research efforts

Empowering individuals and organizations to become quantum ready

We support quantum users at every stage - from learning the building blocks to operating our advanced research-grade solutions. We develop tools and systems that enable leading researchers in quantum technology to push the frontiers of the field.

We also empower the community at the very beginning of a quantum professional’s journey with the tools necessary to help anyone learn quantum computing.

Solutions for learning

Go from zero background to programming real quantum computers

Learning quantum computing doesn’t have to be difficult. While the majority of available material has been limited or overly technical for newcomers to the field, our interactive learning platform addresses this gap.

Black Opal is an interactive learning platform designed to help anyone learn in quantum computing.

Combining accessible and interactive modules with engaging content and gamified skills development, Black Opal is the perfect entry to the field – from curious students to professional developers. Black Opal can be used independently or as a companion to formal coursework – on campus, or online.

Desktop and mobile view of the Black Opal user interface
Solutions for research

Accelerate PhD research

We work with academic teams and PhD students who are leading global efforts to make quantum technology a reality.

We understand that the priority for research students and doctoral candidates is speed – and to focus on the big questions in quantum technology - but unstable hardware, onerous manual tasks, and bug hunting in code inevitably gets in the way.

Our advanced quantum control software Boulder Opal provides everything you need to design, automate, and scale your quantum experiments.

We support individual users, small teams, or entire institutions through multi-user site licenses.

See the light in the dark with automated performance optimization

Achieve meaningful results from quantum computers through fully 
automated error suppression — no hardware expertise required

Today’s quantum computers are growing rapidly, but errors hinder the ability to get useful results. Fire Opal is an out-of-the-box cloud solution that allows you to solve your toughest quantum problems with over 100 qubits using Q‑CTRL’s proprietary automated error suppression technology.

Now anyone can boost the quality of their use cases run on real hardware while achieving massive cost savings. A single pipeline for abstracting hardware, automatically reducing error, and boosting algorithmic success on quantum computers will transform the value of your quantum applications.

Get started for free. Simply sign up, install, and run your circuit to experience results that will change your view of what’s possible with today’s machines.

Real-world use cases

University of Hull, UK

Improving quantum education outcomes with Black Opal at the University of Hull, UK

Enhancing student engagement and real-world understanding in quantum computing through intuitive and interactive learning with Black Opal.

85%

of students reported that Black Opal improved their overall learning outcomes when used alongside their university syllabus, and would recommend its use in future courses.

Read the case study

Students who engaged with Black Opal as an active companion resource significantly boosted knowledge retention and ultimately understanding. Some of them even engaged further with quantum computing by choosing a final-year project in that field.

Dr David Benoit
Senior Lecturer in Molecular Physics and Astrochemistry
,
University of Hull, UK
Northwestern University

Northwestern looks to the heart of the universe with robust quantum sensors

With Boulder Opal, Northwestern suppressed 5 different noise sources simultaneously with a single optimized robust control pulse for atom interferometry.

5

different noise sources can be suppressed simultaneously with a single optimized robust control pulse for atom interferometry.

Read the case study

The breadth and flexibility of Boulder Opal allowed us to create our own optimization scenario and obtain pulses robust to the five most relevant experimental noise sources at the same time! This will be crucial in the development of atomic interferometers to detect dark matter and gravitational waves at currently unexplored frequencies.

Zilin Chen
Postdoc
,
Northwestern University
The University of Sydney

Making sense of quantum noise with machine learning

Q-CTRL's quantum control engineers developed a new machine-learning tool allowing high-fidelity reconstruction of the spectral “fingerprint” of quantum noise.

<1PPM

Sensitivity error-source identification during quantum logic.

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Collaboration between experimentalists at University of Sydney and quantum control engineers at Q-CTRL breakthrough result published in Physical Review Letters

Dr. Cornelius Hempel
Research Fellow
,
The University of Sydney
Chalmers University of Technology

Chalmers achieves 8X faster quantum logic using Boulder Opal

With Boulder Opal, Chalmers was able to design totally new numerically optimized gates that enable massive speedups without introducing new gate errors.

>180X

Reduction in gate duration.

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It was really easy to go from code to experiments. I started from the relevant notebook in the documentation, followed the steps, adapted when necessary, and it simply worked! We’re now using Q-CTRL pulses that allow us to cut the time of our gates by eight times.

Marina Kudra
PhD Student
,
Chalmers University of Technology
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Make quantum technology useful
Alice & BobAtom ComputingChalmers UniversityIBM QuantumImperial College LondonION QNorthwestern UniversityRigetti