Our users

Enterprise and government

Solve complex infrastructure, logistics, and optimization challenges with a quantum advantage.

Solutions to build a quantum-ready workforce

Gain a strategic advantage for the quantum future

Quantum advantage in quantum computing is coming soon; enterprises and governments need teams who understand what it is, how it works, and how to apply it. But the skills gap is huge—and conventional training programs often feel abstract, technical, and inaccessible to non-specialists. 

Black Opal for Enterprise bridges this gap with an interactive learning platform built to upskill diverse teams quickly and effectively. Through visual lessons, real-world scenarios, and hands-on activities, Black Opal turns complex theory into practical understanding for your industries, helping organizations build quantum fluency at scale across technical and non-technical roles.

Desktop and mobile view of the Black Opal user interface
Solutions for enterprises adopting quantum computing

Integrate quantum computing into your data center

Adopting quantum computing NOW to get ahead of the competition is becoming an urgent need. But enterprise deployment has been all but impossible due to the gap between current IT skills and the complexity of installing and operating quantum computers. IT leaders need infrastructure that can integrate quantum seamlessly into their data centers, without slowing down operations or increasing technical risk.

Q-CTRL is powering this transition through the Software-Defined Quantum Data Center (SDQDC) model, enabling enterprises to integrate, access, and operate quantum systems with ease. Boulder Opal Scale Up provides the full automation suite needed to turn an experimental quantum processor into a powerful computational instrument in your data center. And when combined with Fire Opal, users can abstract quantum hardware away completely via autonomous performance management and problem-focused solver modules.

Image of a data center

Q-CTRL’s quantum infrastructure software abstracts hardware complexity through automation, delivering fast calibration, high reliability, and full hybrid quantum-classical compatibility. By making quantum more accessible to IT generalists on their teams, our users can accelerate business outcomes and maximize ROI, bringing performance, scale, and flexibility to the forefront of enterprise quantum adoption.

quantum stacks image
Solutions helping you adopt quantum applications

Embrace quantum solutions to tackle complexity with speed and accuracy 

Enterprise and government teams increasingly face computational problems that are too large, complex, or uncertain for traditional tools—whether it's optimizing defense logistics, modeling high-impact scenarios, or accelerating discovery in sensitive domains. As quantum computing advances, the opportunity to solve these problems with greater precision and speed becomes real, but accessing that performance is an enormous technical challenge.

Fire Opal helps you overcome these barriers by making it easy to execute real algorithms on real quantum computers without the need to specialize in quantum hardware. Proven by national infrastructure agencies and defense organizations to improve efficiency, speed up planning, and uncover new insights, Fire Opal empowers teams to unlock greater performance and make smarter decisions, faster – all through the power of quantum computing.

Real-world use cases

Network Rail

Accelerating the schedule for quantum-enhanced rail

Accelerate the usefulness of quantum computing for rail scheduling through custom solution development and performance optimization utilizing Fire Opal.

6X

increase in solvable problem size and accelerated timeline to practical quantum advantage by up to 3 years, now estimated for 2028.

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We were pleasantly surprised to see the optimal routing of 26 trains over 18 minutes of real scheduling data for the full station topology being realised on a real quantum device, which otherwise wouldn’t have been possible without using Q-CTRL’s optimisation solver.

Nadia Hoodbhoy
Principal Engineer
,
Network Rail
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
Australian Army

Improving Army logistics with quantum computing

With Fire Opal, the Australian Army tested and validated a quantum computing solution on real hardware that promises to outperform their existing methods.

12X

improvement in the likelihood of finding an optimal solution with Fire Opal over the default hardware execution

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Optimally routing 120 convoys can take more than a month of classical computation. The Australian Army is evaluating the potential of quantum computing to provide improvements; however, it’s been difficult to validate the feasibility of a quantum solution due to hardware noise. With Fire Opal, an algorithmic enhancement software, we are able to achieve results on quantum computers that build confidence in our quantum roadmap.

Marcus Doherty
Australian Reserve Officer
,
Australian Army
Transport of NSW

Delivering quantum computing for faster commuting

Improving algorithmic success for Transport for NSW's complex transport network management and congestion problems using quantum control infrastructure software

>200X

Improvement in algorithmic success.

Read the case study

A rare opportunity for leading transport innovators and quantum computing experts to tackle complex transport network management and congestion problems.

Andrew Constance
Minister for Transport and Roads
,
Transport of NSW
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Make quantum technology useful
Alice & BobAtom ComputingChalmers UniversityIBM QuantumImperial College LondonION QNorthwestern UniversityRigetti