Our work

Positioning, navigation and timing

Delivering the most advanced PNT solutions with quantum advantage
As featured in

Address the number one strategic threat

We develop solutions that brings robustness to logistics, supply chains, and telecommunications networks powered by quantum technology that addresses the number one strategic threat.

GPS denial is widely recognized as the most significant vulnerability faced by allied nations. For example, a short five-day outage in the UK alone is estimated to cost nearly $7 Billion; a broader outage could jeopardize communications networks, oceanic shipping, and autonomous vehicles. GPS denial on the battlefield poses a major risk to friendly forces.

Deliver precise dead-reckoning navigation

Quantum-enabled PNT is the future of navigation. The unreliability of GPS in urban environments, high latitudes, subsurface settings, and contested battlefields mandates new approaches to navigation.

We have has partnered with Advanced Navigation, a world-leader in AI-enhanced inertial navigation systems, to offer our users an ultra-high performance quantum PNT system that opens a new frontier in navigation undersea, land, and outer space.

Navigate with and generate geophysical maps

The earth has a unique fingerprint that’s invisible to the naked eye. Both gravity and magnetic fields vary locally and provide unique terrain maps enabling precise navigation even under the most demanding circumstances.

Q-CTRL’s software-ruggedized gravimeters and magnetometers enable high-accuracy mapping and map matching on mobile platforms - from sea to air. And combined with proprietary algorithms we can help you turn sensor insights into mission capabilities.

Protect networks with enhanced quantum clocks

Stable clocks are essential not only for GPS but for operating our telecommunications networks. We have pioneered software-level techniques that can improve clock stability and ultimately improve network resilience in the face of GPS disruptions.

Through patented techniques to improve the stability of passive frequency standards and phase-lock-loops using machine learning, we help you deploy software solutions that deliver enhanced clock performance without the need to change your hardware.

Real-world use cases

This groundbreaking application of autonomous quantum sensors in space exploration will be invaluable in leveraging extraterrestrial resources to establish permanent human bases on the Moon, Mars and beyond.
Steven Marshall, Premier of South Australia
We used Qiskit Pulse and Q-CTRL’s Boulder Opal to run error-robust quantum gates on a five-qubit IBM Quantum Canary processor delivering better value for users
We could see all trains, busses, ferries, trams and motorways essentially ‘talking to each other’ to find out where customers are and deploy resources where needed.
Andrew Constance, Minister for Transport and Roads
The team at Q-CTRL was able to rapidly develop a professionally engineered machine learning solution that allowed us to make sense from our data and gain real insights into how to improve our hardware.
Dr. Cornelius Hempel
It was really easy to go from code to experiments 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 at Chalmers
Q-CTRL’s work has the potential to significantly improve algorithmic performance and hardware stability in quantum processors.
Alex Hill, Rigetti
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!
Zilin Chen, Postdoc at Northwestern University
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 & Co-Founder at Quanscient
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, Army Research Officer, SO1 Quantum Technologies, Australian Army
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 Quantum Hardware

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