Infleqtion Leads Quantum Navigation Revolution with Enhanced Inertial Systems

Infleqtion UK, a leading quantum technology company, has successfully completed the first phase of its Quantum Enhanced Inertial Navigation Systems (Q-NAV) project, paving the way for a future of advanced navigation technology. The Q-NAV project aims to develop a robust and continuous beam atom inertial sensor that leverages Infleqtion’s industry leadership in cold atom quantum technology. This innovation addresses the limitations of Global Navigation Satellite Systems (GNSS), which are vulnerable to spoofing and jamming attacks, as seen in recent conflicts.

Dr Tim Ballance, President of Infleqtion UK, emphasized the company’s commitment to deploying cutting-edge quantum solutions for both military and civilian navigation. The project has brought together key partners, including QinetiQ and the Royal Navy, to develop a Quantum-Enhanced Inertial Navigation System (Q-INS) that integrates classical and quantum inertial sensors.

Lieutenant Colonel Scott Wallace RM of the Royal Navy Office of the Chief Technology Officer highlighted the importance of partnerships in accelerating quantum technologies into mature capabilities. The Q-NAV project has made significant progress, with a sea trial of the hybrid navigation systems set to take place on the Navy’s XV Patrick Blackett experimental vessel in early 2025.

Quantum Navigation: The Future of Positioning, Navigation, and Timing (PNT)

The recent completion of the first phase of the Quantum Enhanced Inertial Navigation Systems (Q-NAV) project by Infleqtion UK marks a significant milestone in the development of quantum navigation technology. This project, awarded by Innovate UK, aims to address the limitations of Global Navigation Satellite Systems (GNSS) and develop a more accurate and reliable navigation system.

The Q-NAV project is a collaborative effort between Infleqtion UK, QinetiQ, and the Royal Navy, with the goal of deploying cutting-edge quantum solutions for both military and civilian navigation. The project’s vision is to revolutionize navigation technology by tackling the core challenges associated with current inertial navigation systems (INS) limitations. By integrating both quantum and classical inertial sensors, Infleqtion aims to develop the world’s first Quantum-Enhanced INS (Q-INS) that sets new navigation accuracy and reliability standards.

The Limitations of Current Navigation Systems

Current GNSS is widely used globally, but its vulnerability to spoofing and jamming attacks poses a significant risk. Inertial navigation systems (INS), which were once the accuracy benchmark before the advent of GNSS, have limitations in terms of sensor sensitivity, drift, and noise performance. These limitations make them unsuitable for standalone INS solutions. The Q-NAV project aims to overcome these challenges by developing a robust, continuous beam atom inertial sensor that leverages Infleqtion’s industry leadership in cold atom quantum technology.

The Role of Quantum Technology in Navigation

Quantum technology has the potential to revolutionize navigation systems by providing more accurate and reliable solutions. By pushing the boundaries of what is possible with quantum technology, Infleqtion believes it can create navigation solutions that meet and exceed the demands of military and civilian applications. The Q-NAV project’s continuous measurement approach offers significant advantages over existing quantum inertial sensors by eliminating the dead time between samples, thereby unlocking substantial gains in bandwidth and dynamic range.

Collaborative Efforts for Superior Performance

The Q-NAV project is a testament to the power of collaborative efforts in driving innovation. Infleqtion UK is working closely with QinetiQ, leveraging their expertise in contested domain navigation solutions, to develop sensor fusion architectures and approaches that blend the strengths of classical and quantum sensors into a Q-INS. The continuous quantum sensor output will enable novel approaches that rely on uninterrupted correction of classical inertial sensor drift to deliver superior navigation performance and holdover.

Setting New Standards in Navigation

The Q-NAV project has the potential to set new standards in navigation technology. Infleqtion UK’s commitment to pioneering solutions that secure and advance the capabilities of both military and civilian navigation systems is unwavering. The project’s success will pave the way for more accurate, reliable, and resilient navigation systems that meet the demands of various applications.

The Future of Navigation

The Q-NAV project is a significant step towards realizing the potential of quantum technology in navigation. As Infleqtion UK continues to push the boundaries of what is possible with quantum technology, it is likely that we will see more innovative solutions emerge. With its commitment to advancing navigation technology, Infleqtion UK remains at the forefront of innovation, setting new standards for the industry and securing a future where navigation technology is more accurate, reliable, and resilient than ever.

More information
External Link: Click Here For More
Quantum News

Quantum News

As the Official Quantum Dog (or hound) by role is to dig out the latest nuggets of quantum goodness. There is so much happening right now in the field of technology, whether AI or the march of robots. But Quantum occupies a special space. Quite literally a special space. A Hilbert space infact, haha! Here I try to provide some of the news that might be considered breaking news in the Quantum Computing space.

Latest Posts by Quantum News:

SuperQ Quantum Announces Post-Quantum Cybersecurity Progress at Qubits 2026, January 29, 2026

SuperQ Quantum Announces Post-Quantum Cybersecurity Progress at Qubits 2026

January 29, 2026
$15.1B Pentagon Cyber Budget Driven by Quantum Threat

$15.1B Pentagon Cyber Budget Driven by Quantum Threat

January 29, 2026
University of Missouri Study: AI/Machine Learning Improves Cardiac Risk Prediction Accuracy

University of Missouri Study: AI/Machine Learning Improves Cardiac Risk Prediction Accuracy

January 29, 2026