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Prateek Tripathi, “Quantum Sensing and its Applications in Indian Military Navigation Systems,” ORF Occasional Paper No. 544, Observer Research Foundation, May 2026.
The defence sector is the primary site for the development of new, cutting-edge technologies, including the evolution of quantum technology. Developing control over individual particles at the quantum scale can be a paradigm shift for defence technology, offering new capabilities while augmenting existing ones.
Within the realm of quantum technology, quantum sensing has the most practical utility, with multiple working prototypes and commercially available quantum sensing systems already in place. With potential applications from enhanced Intelligence, Surveillance, and Reconnaissance (ISR) to electronic and space warfare, it is easy to see why many nations have invested heavily into the technology. However, their most viable application currently lies in the realm of augmenting classical Position, Navigation, and Timing (PNT) sensors.
PNT systems form the backbone of modern military systems, being widely employed for navigation, communication, ISR operations, and targeting. They were widely used in recent conflicts such as the Russia–Ukraine War, the Iran War, and Operation Sindoor. Moreover, given the increasing instances of Global Positioning System (GPS)-jamming and spoofing along the India–Pakistan and Indo–China borders, for India, they offer a viable alternative to the traditional Global Navigation Satellite Systems (GNSS), as they are an effective counter to navigation warfare.
The Indian military has undertaken multiple initiatives to develop quantum sensing and PNT systems, in collaboration with academia and start-ups working in the field, primarily under India’s National Quantum Mission. However, given the nascent and complex nature of the technology, several practical and strategic constraints will need to be overcome.
This paper gives an overview of the classical PNT systems and their limitations, discussing the need for PNT resilience and augmentation. It elucidates the basic concepts of quantum sensing and its applications in developing novel PNT systems for timing and inertial navigation, and details the global initiatives pursuing this technology. It discusses the Indian PNT scenario, along with the efforts made to develop quantum sensing systems. It concludes with policy recommendations that can aid in harnessing the technology for optimal military impact.
PNT systems have cemented themselves in the modern world, finding application across almost every domain, from civilian applications such as transportation, banking, energy grids, and air travel to military employment for aircraft, drone, and ship navigation, as well as missile guidance, and precision-guided munitions.
Positioning and timing techniques form the foundation of PNT systems. They can be broadly classified as given in Figure 1.
Figure 1: Position and Timing Techniques Employed in PNT Systems

Source: Author’s own, based on quantum vs classical complementarity PNT.[1]
Timing techniques can be divided into dead reckoning and time synchronisation. In dead reckoning, a timing sensor is employed to estimate time relative to a previously estimated time, such as logs from previous marine navigations.[2] Time synchronisation employs the more modern approach of estimating time relative to an externally defined time, such as Coordinated Universal Time (UTC).[3] While the latter is the more accurate and reliable approach, dead reckoning is used in the absence of traditional timing systems like the Global Positioning System (GPS). Accuracy[a] in dead reckoning tends to reduce over time due to error accumulation (or ‘drift’) by clocks.
Timing systems rely on clocks, which typically consist of an oscillator[b] and a counter. Earlier oscillators were only made of quartz crystal, but now they are gradually being replaced by Micro-Electromechanical Systems (MEMS) that are more accurate.[4]
A counter consists of a circuit that counts or accumulates the periodic signals from an oscillator.[5] Examples include binary ripple counters and decade counters.
Similar to timing techniques, positioning techniques can be divided into dead reckoning and position-fixing. Dead reckoning employs inertial navigation to estimate position, based on a previously known or estimated position.[6] Inertial navigation relies on inertial measurement units (IMUs), such as accelerometers and gyroscopes, to track acceleration and rotation respectively. This is done by monitoring a moving mass, such as a ball suspended from a spring, and integrating the measured accelerations and rotations at each measurement point to estimate position.[7] Each subsequent estimation tends to accumulate measurement errors over time. Here, too, dead reckoning is reasonably accurate over short distances, but tends to accumulate errors over longer ranges due to sensor drift. Examples of mature IMUs include ring laser and fibre-optic gyroscopes.
Position-fixing estimates position relative to one or multiple landmarks sharing a common reference frame (like GNSS satellites), terrestrial features, or features from a map. It can be broadly divided into radionavigation and map/feature-matching.[8]
In radionavigation, radio signals from one or a network of transmitters are used to estimate the receiver’s position. Depending on the transmitter, radionavigation can take on several forms:
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How Does GPS Work? GNSS like GPS require a global constellation of satellites, which transmit radio frequency (RF) signals from MEOs. Some of the GNSS systems are GPS (US), GLONASS (Russia), Beidou (China), Galileo (Europe), QZSS (Japan), and NavIC (India). GPS, in particular, currently consists of a constellation of 31 operational satellites, though it requires a minimum of 24 to function effectively, and signals from four satellites to triangulate the receiver’s position. GPS satellites carry extremely accurate atomic clocks that are used to broadcast a Pseudorandom Noise (PRN) code containing precise timing to the receiver. The time difference between the signal reception and broadcast can give the accurate receiver position after accounting for propagation delays caused by the earth’s ionosphere. |
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Source: US Federal Aviation Administration.[12]
In map- or feature-matching, the user’s environmental observations are matched with an existing map or database containing known man-made (such as streets and buildings) or geophysical (such as terrain, gravitational anomalies, or magnetic fields) features. A summary of map-/feature-matching techniques is given in Table 1.
Table 1: Map-Matching Techniques
| Map-Matching Technique | Description |
| MAGNAV | Measurements of the earth’s magnetic field are matched with existing maps of the field configuration to estimate position. |
| GRAVNAV | Measurements of the earth’s gravitational field are matched with existing maps of the field configuration to estimate position. |
| Image-Based Navigation | Images taken using aerial platform cameras or synthetic aperture radars are matched with existing maps to estimate position. |
| Terrain-Referenced Navigation | Height measurements using altimeters, cameras, radars, lidars, and sonars are matched with existing databases on terrain elevation to estimate position. |
| Celestial Navigation | Images of celestial objects, like stars, are matched with an existing catalogue to estimate position. |
Source: Author’s own, based on Classical vs Quantum Complementarity PNT.[13]
In general, estimating position or time for most applications involves using dead reckoning in conjunction with position-fixing and time-synching techniques to rectify the error caused by drift. Some techniques such as Simultaneous Localisation and Mapping (SLAM) inherently involve using multiple methods like dead reckoning and map-/feature-mapping.[14] The respective accuracies for different techniques are given in Table 2.
Table 2: Accuracies and Limitations of Positioning Techniques
| Method Type | Accuracy (Metres) | Limitations | Best-Use Cases |
| GNSS | 0.01 to 5 | Signals are susceptible to jamming and spoofing. They cannot penetrate underground, underwater, or places with substantial obstacles. | Highest in terms of performance, provided signals are available. |
| Inertial Navigation | Time Dependent | Suffers from sensor drift. The best classical IMUs can last about one day before accumulating errors over 2 kilometres (km). | Any vehicle, either for short-term intervals or in conjunction with another PNT system to limit drift. |
| MAGNAV | 100 to 1,000 | Accuracy is dependent on velocity, altitude, platform corrections, and the magnetic anomaly map quality/resolution. Navigation will deteriorate in a space with minimal anomaly features. | Aircraft, guided munitions, drones (altitudes > 300 metres [m]). Possible applications: Ships, underwater vehicles. |
| GRAVNAV | 2,000 to 10,000 | Limited by gravitational anomaly map quality/resolution. Performance will also deteriorate in places with minimal gravitational anomaly features. | Ships, underwater vehicles. Possible applications: Land vehicles if no other landmarks/signals are available. |
| Celestial Navigation | 25 to 2,000 | Requires a clear view of the sky; accuracy improves in the absence of clouds or at high altitudes. | Aircraft and ships. Possible applications: Land vehicles if no other landmarks/signals are available. |
| Image-/Terrain-Based Navigation | 1 to 30 | Cannot be used over featureless terrain. Light-/laser-based methods have degraded performance in bad weather. Requires access to a terrain database to match signals. | Guided munitions, aircraft, submarines (sonar), airborne and underwater drones. |
| Radio Frequency Navigation | 10 to 500 | Requires costly and extensive infrastructure, impossible to build on enemy territory. Signals are still susceptible to jamming/spoofing and require a moderately clear path to a receiver. | Ships and underwater vehicles at shallow depths (when using very low-frequency signals). |
| Low-Earth Orbit Satellites | 20 to 200 | Will require a mega-constellation (such as a completed Starlink) to achieve global coverage. Signals are still susceptible to jamming/spoofing. May have incomplete PNT information, paywall barriers, or require decoding. | All above-water and above-ground vehicles. |
Source: Author’s own, based on How Quantum Sensing Will Help Solve GPS Denial in Warfare[15]
The efficacy of classical PNT systems can be curtailed by a variety of factors:
Warfare
Given their pivotal importance for military operations, attacking PNT systems like GPS has become a focal point in modern warfare. These attacks are conducted using counterspace weapons which can be broadly classified into four categories:[16]
Adversarial attacks on PNT systems can have severe ramifications for a nation’s military. For instance, in the Russia–Ukraine conflict, Russian EW systems designed to jam GPS signals have had a marked impact on the effectiveness of typically reliable US-made satellite-guided weapons used by Ukraine, such as Excalibur shells, JDAM-ER missiles, and HIMARS launchers, reducing their hit rate from over 50 percent to less than 10 percent.[19],[20] EW has also been employed by Israel in its conflict with Hamas and Hezbollah, and led to at least one civilian aircraft nearly entering enemy airspace as it was following a spoofed signal.[21] GPS jamming has been employed during the Iran War, too, increasing the risk of collision in vessels travelling along the Strait of Hormuz due to widespread Automatic Identification System (AIS) malfunction.[22]
Furthermore, due to increasing commercial availability of jamming and spoofing technologies, EW is also being employed by non-state groups and terrorists in countries such as Ukraine, Syria, Afghanistan, South Korea, and India.[23]
GPS-Denied Environments
Location is a critical factor in determining GPS signal reception. GPS signals become significantly weaker and inaccurate in remote areas or areas under dense foliage.[24] They cannot penetrate underground or underwater. Hence, alternative techniques are required for navigation in these areas.
Natural Events
Natural events such as solar flares and Coronal Mass Ejections (CMEs)[d] can significantly degrade GNSS performance.[25] Terrestrial events like hurricanes can also damage or nullify alternative PNT systems like the Loran.
Other Factors
Other inadvertent factors like negligence, space debris, and GNSS technical failure can also severely handicap PNT capabilities.[26]
In the absence of PNT systems, precision-guided munitions are essentially reduced to regular artillery shells. Tasks requiring precision timing and navigation, such as encrypted communication and preventing friendly fire, would be affected. Therefore, every nation’s military relies on a combination of PNT techniques, depending on the situation, with each technique involving a trade-off between accuracy and availability, leading to the concept of PNT resilience. However, no classical PNT system is completely free of vulnerabilities and any of them can, in principle, be disrupted. On the other hand, quantum PNT systems are not susceptible to these disruptions, since they are passive and do not rely on external signals.[27]
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Prateek Tripathi is an Associate Fellow at the Centre for Security, Strategy and Technology. His work focuses on an emerging technologies and deep tech including quantum ...
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