Quantum Navigation Trials

Northrop Grumman has successfully conducted flight tests of a new quantum navigation system on the unmanned aerial vehicle Lumberjack. This system enables the drone to determine its course and position without relying on satellite navigation, instead using highly accurate measurements of Earth's magnetic field.

Features of Unmanned Aerial Vehicles

Operating drones requires not only downsizing standard flight systems for a compact body or designing without a pilot’s cockpit, but also integrating advanced sensors, autonomous software, onboard computers, and data transmission channels.

The Importance of Navigation for Military Drones

Reliable navigation is crucial for military drones, as combat and reconnaissance UAVs must reach their targets with high precision. Satellite navigation systems like GPS and GLONASS are vulnerable to jamming or spoofing by adversaries and can lose signal in challenging environments—such as canyons, densely populated cities, or near polar regions.

Alternative Navigation Methods

There are several ways to navigate when GPS is unavailable or disrupted. The system developed by Northrop Grumman in partnership with SandboxAQ uses an approach similar to methods employed by sailors, who determine their position using bathymetric maps and sonar data.

How the Quantum Navigation System Works

The system detects minute changes in Earth's magnetic field—its strength, deviation from magnetic north, and inclination—and compares them with an extensive database using artificial intelligence. This allows the drone to pinpoint its exact location in real time.

The core component of the AQNav system from SandboxAQ, installed on the Lumberjack, is an optically pumped magnetometer (OPM). At its heart is a glass cell filled with alkali metal vapors (such as rubidium, cesium, or potassium), which are illuminated by a polarized laser of a specific frequency. The laser aligns the atoms in a certain direction, and an external magnetic field causes them to oscillate. By measuring these oscillations and performing calculations, the system determines the strength and direction of the field with high precision (up to 10⁻¹⁵ tesla).

The system operates at room temperature and does not require complex cooling or the use of liquid helium, making it easier to install on the 36 kg Lumberjack drone, which has a maximum takeoff weight of about 131 kg.

Advantages and Integration

This navigation system does not depend on external signals and cannot be jammed or spoofed, as it relies solely on passive, natural magnetic fields of the planet. Tests have shown that the quantum navigator can work in tandem with visual navigation systems, and its modular design allowed for testing less than a month after integration.

Cost Efficiency

The Lumberjack airframe costs between $75,000 and $100,000 per unit. Implementing software-centric quantum navigation significantly increases the reliability of these relatively inexpensive drones without substantially raising their cost.

Expanding Mission Capabilities

Adding quantum sensors to an autonomous platform like Lumberjack expands its ability to perform missions in environments where GPS navigation is unavailable.