Our users

Educators

Lead in quantum education with interactive lessons, real algorithms, and advanced control tools.

Solutions for educators building and delivering quantum courses

Bring clarity and engagement to quantum education

Teaching quantum computing can be incredibly rewarding, but also challenging. Educators face the need to communicate abstract concepts, keep students engaged, and ensure their curriculum reflects modern advancements in the field. Outdated teaching tools or overly theoretical content often limit student progress and enthusiasm.

Our customers include academics and teachers using Black Opal for Educators to make quantum learning intuitive, interactive, and accessible. With modular lessons, engaging visual explanations, and hands-on activities, educators can integrate real quantum skills into their classrooms with minimal effort. From foundational to advanced quantum courses, Black Opal supports modern learning with progress tracking, course integration tools, and content aligned to real-world applications.

Solutions for hands-on learning in computational quantum physics and quantum control

Equip advanced students with real quantum systems experience

For educators leading research groups or delivering advanced coursework, giving students practical experience in the modelling and control of real quantum devices is key. However, most relevant tools are custom-made for each team and poorly documented, slowing progress and frustrating the learning process.  

The Boulder Opal Toolkit offers group leaders a research-grade software suite that allows students to simulate quantum systems and attack the challenge of designing controls to enact quantum logic or execute complex experiments.  Utilizing the same tools employed by quantum research and development teams worldwide, Boulder Opal enables educators to introduce their students to the most advanced capabilities in the field. 

Starting with introductory tutorials and including comprehensive code-based Jupyter notebooks, research teams can quickly learn and adopt the most powerful techniques in quantum control, from AI-driven gate optimization to simulation of large, complex quantum devices.

Solutions for exploring real algorithms on real quantum computers

Gain insights only achievable from running on real hardware

Educators and students increasingly want to connect quantum concepts with real-world impact, especially in fields like operations research, data science, or systems engineering. But building this bridge from theory to application often fails when tests are relegated to simulation rather than real experiments on real quantum hardware. 

Fire Opal gives educators an out-of-the-box way to test and develop new quantum applications while abstracting away the details of quantum hardware and error management that require a specialized PhD to implement. With no need for deep quantum hardware expertise, students can explore use cases like chemistry, logistics, scheduling, and codebreaking through an intuitive cloud-based platform able to deliver the best results achievable on cloud quantum computers. It’s the ideal tool for capstone projects, industry-partnered courses, or any curriculum focused on the future of applied quantum computing.

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.

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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
Nord Quantique

Nord Quantique is accelerating the path to useful quantum error correction with Boulder Opal

Nord Quantique used Boulder Opal to design a hardware-efficient QEC protocol for a superconducting system where quantum information is encoded in GKP states.

14%

increase in logical qubit lifetime

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Given the complexity of the physics at play, being able to perform closed-loop optimization of a few physically motivated parameters of the quantum error correction protocol with Boulder Opal is very valuable to us.

Dany Lachance-Quirion
VP of Quantum Hardware
,
Nord Quantique
BlueQubit

Enabling data loading for quantum machine learning with Fire Opal

BlueQubit demonstrated groundbreaking loading of complex distribution information onto 20 qubits for a QML application by using our error suppression product.

8X

Better performance in terms of Total Variational Distance (TVD), which measures the deviation from perfect data loading.

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As we develop novel techniques to solve some of the quantum industry’s hardest challenges, Fire Opal is an essential tool to reduce the impact of hardware noise and demonstrate successful results with deeper and wider circuits.

Hayk Tepanyan
Chief Technology Officer
,
BlueQubit
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