Our work

Quantum sensing

New possibilities in measurement capability and new data to change the future.

As featured in
The New York Times

Detect the undetectable

Quantum sensors exploit the extreme sensitivity of quantum devices. This emerging application of quantum technology puts this fragility to work by helping you to detect smaller signals from greater distances and unlock new capabilities that were never before possible.

The market is growing rapidly. Now is the time to get ahead of the competition.

Solutions for research

Bring quantum sensors to the field

Our focus on quantum control engineering is essential to extract more useful information from the next generation of quantum sensors and to accelerate their deployment in the field.

Quantum control allows you to overcome imperfections, environmental clutter, and platform noise in order to realize the true potential of your hardware.

Our infrastructure software solutions for quantum sensing expand your system’s performance where it counts - in the field. They are based on the power of Boulder Opal’s validated research tools, integrating autonomy, resilience, and noise rejection directly into your existing hardware and operational software.

Boulder Opal, our quantum control infrastructure software, provides you with everything that you need to turn quantum sensors into viable fielded solutions: Improve sensitivity, build autonomy, and reduce SWaP, all through software.

Solutions for end-users

Leverage data that has never before been accessible

Data is the heart of the modern economy. From underground to outer space, we measure everything around us to build the data streams we need to power the world.

We are creating new data streams for defense, minerals, long-term weather forecasting, and climate monitoring through our software-defined quantum sensing hardware. We go beyond hyperspectral imaging in order to provide continuous long-term mass change and magnetic signature monitoring.

We use quantum control to augment and fundamentally transform the performance of quantum sensors. This results in hardware that outperforms not only conventional designs but also allows user-defined reconfigurability.

Our expert team has built some of the highest-performing quantum sensors in the world to unlock new capabilities for our partners.

Discover how we are enabling the future of autonomous vehicles, powering a new generation of space-exploration missions, and providing a new set of eyes to see the earth with Q-CTRL’s “software-defined” quantum sensors.

Solutions for end-users

Real-world applications

Hardware and data from quantum sensors, powered by quantum control

Real-world use cases

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.

Read the case study


increase in logical qubit lifetime

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.

Read the case study


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

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
Blue Qubit

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.

Read the case study


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

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
Blue Qubit
Q-CTRL Partner

Reducing quantum compute costs 2,500X with Fire Opal

With Fire Opal a financial company was able to run algorithms on more cost-effective hardware systems while achieving results comparable to more premium systems

Read the case study


Reduction of quantum compute cost

We wanted to challenge Fire Opal’s capabilities by running a quite complex, unoptimized circuit. The results were extremely promising. The only comparable results we’ve seen have come from hardware that is currently too expensive to run extensive tests on.

Dr. Valtteri Lahtinen
Chief Scientific Officer
Q-CTRL Partner

Get started now

Make quantum technology useful
Alice & BobAtom ComputingChalmers UniversityIBM QuantumImperial College LondonION QNorthwestern UniversityRigetti