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Topic dossier · Quantum Technologies

Quantum sensing

Quantum sensors use the sensitivity of quantum states to measure time, magnetic fields, gravity, acceleration and rotation with high precision. Atomic clocks already underpin navigation and networks; newer sensors could support navigation without satellites, medical imaging and underground mapping. This page sets out how quantum sensing works, how mature each application is, and what evidence serves the agencies and industries considering it.

01In brief

The short answer.

Quantum sensing is the use of quantum states to measure time, magnetic fields, gravity, acceleration and rotation with high precision. Atomic clocks already underpin navigation and networks, while atom interferometers and diamond sensors are being developed for navigation, mapping and imaging, with field robustness the main hurdle.

02Geography

Connected activity in Japan and Korea.

For quantum sensing, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, night lights and population density with true colour from NASA GIBS, framed on Japan and Korea; every other NASA layer, live feed and forecast waits in the layer list.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Connected activity, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For quantum sensing, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery, night lights and population density with true colour from NASA GIBS, framed on Japan and Korea; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · Copernicus Sentinel-2 L2A · NASA HLS S30Sources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
  • Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE · 13 Oct 2026

03Console

Quantum testbed, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Quantum testbed

Quantum sensing · Testbed lab · Device QD-91

Calibration cycleGCRI · Quantum Technologies

Qubits

Q0166940.02In spec
Q1102350.04In spec
Q2178570.05Drifting
Q362320.02In spec
Q4100950.03Drifting

Device

Topology
heavy-hex, placeholder
2Q fidelity
0.994
Access
by committee
Label
OBSERVED
Quantum testbed: the screen's structure, terms and states for Quantum sensing.Placeholder names and illustrative values; a design, not a record or a live system.
04The question

Quantum sensing: how the risk develops.

Measurement, navigation and Earth-science applications. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Atoms keep precise time

Atomic clocks use transitions between atomic energy levels as frequency references. They underpin satellite navigation, telecommunications and financial timestamps.

Mechanism

Interference measures motion and gravity

Atom interferometers split and recombine matter waves to measure acceleration, rotation and gravity, with potential for navigation and subsurface mapping.

Mechanism

Defects sense magnetic fields

Defects in diamond and other systems sense tiny magnetic fields at small scales, with uses in materials science and biology.

Mechanism

Field use is hard

Laboratory sensitivity often degrades in the field because of vibration, temperature and size constraints. Ruggedising sensors is a major engineering challenge.

05Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Atomic clockA clock that uses the frequency of an atomic transition as its reference.
Atom interferometerA device that splits and recombines matter waves to measure acceleration, rotation or gravity.
Technology readiness levelA scale describing how mature a technology is, from basic research to proven operation.
06Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Clock fractional frequency uncertaintydimensionlessper publicationMetrology institute resultsOBSERVED
Sensor sensitivityunits per square root of hertzper devicePublished characterisationREPORTED
Field trials of quantum navigationcountannualAgency and research reportsREPORTED
Technology readiness level by applicationreadiness levelper assessmentExpert assessmentsESTIMATED
Size, weight and power of deployed sensorskilograms and wattsper deviceProduct specificationsDECLARED
Commercially available quantum sensor productscount by typeannualMarket surveysREPORTED
07Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Quantum sensing as a run graphDesign, not a record
Quantum sensing: an innovation through readiness gatesAn idea is tested as a concept, validated in the lab, piloted with an owner under safeguards and reviewed for adoption; each gate asks for evidence of effect, safety and cost before the next stage. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
BIPM and national metrology institute publicationsTime standards and clock comparisonsPublic, terms per institute
Peer-reviewed sensing literatureExperimental sensitivities and demonstrationsLicence per article
Defence and transport agency reports on alternative navigationAssessments of quantum navigation optionsPublic, terms per agency
OECD quantum technologies policy workOverview of sensing applications and policyPublic, OECD terms
Market surveys of quantum sensingProducts and firmsCommercial; public summaries (to check)
09Decisions

Who decides, and what the evidence serves.

Quantum Technologies prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Transport and navigation authoritiesWhether quantum sensors can reduce dependence on satellite navigationReadiness assessments; field trial evidence
Metrology institutesHow to develop and disseminate time and frequency standardsClock performance evidence
Industry and health systemsWhere quantum sensors offer practical benefitApplication comparisons

Outputs this topic produces

  • Readiness assessments by sensing application
  • Comparisons of quantum and classical sensor options
  • Evidence notes on navigation resilience
  • Field trial review frameworks
10Core questions

What experts ask.

Sensing questions concern precision, robustness and use outside the laboratory.

  • How much better than classical instruments is a quantum sensor in real operating conditions?
  • Can it be made small, robust and affordable enough for field use?
  • Could quantum inertial sensors and clocks provide navigation when satellite signals are lost or jammed?
  • What could quantum gravimeters and magnetometers reveal about groundwater, geology and infrastructure?
  • What are the dual-use implications, for example for detecting submarines or underground structures?
11Mechanisms

Mechanisms and drivers.

Quantum sensors exploit the fact that quantum states are disturbed by tiny changes in their environment. Atomic clocks measure time by the frequency of atomic transitions. Atom interferometers split and recombine clouds of cold atoms to measure acceleration and gravity. Defects in diamond and other materials act as nanoscale magnetometers. The same sensitivity that gives precision also makes sensors vulnerable to noise, vibration and temperature changes.

The step from laboratory to field is the main challenge. Many quantum sensors require lasers, vacuum systems and careful isolation. Engineering progress is reducing size and power, but performance in a moving vehicle or harsh environment is often well below laboratory results.

12Methods and data

How it is studied, and where the methods stop.

Method or dataWhat it showsLimits
Laboratory metrologyFundamental sensitivity and stabilityLaboratory performance rarely transfers directly to the field
Field trialsPerformance in vehicles, aircraft, boreholes or shipsFew trials, often reported by developers
Comparison with classical sensorsWhether the quantum device adds real valueClassical sensors also improve
Earth observation data fusionCombining quantum gravimetry with satellite and ground dataInterpretation depends on geophysical models
14Questions

Questions and answers.

What is a quantum sensor?
A device that uses quantum states, such as atomic energy levels or superposition, to measure physical quantities with high precision.
Are atomic clocks quantum technology?
Yes. They use quantum transitions in atoms and have been in use for decades, underpinning satellite navigation and network timing.
Can quantum sensors replace GPS?
Quantum inertial sensors and clocks could support navigation when satellite signals are unavailable, but field systems are still being developed and tested.
Is quantum sensing already in use?
Yes, in some forms. Atomic clocks are long established. Newer sensors such as quantum gravimeters and magnetometers are in research, trials and early commercial use.
Could quantum sensors replace satellite navigation?
Not entirely. Quantum inertial sensors could reduce drift when satellite signals are unavailable, but they measure motion relative to a starting point and still accumulate some error over time.
Why is sensing considered dual use?
Because the same precision that helps map groundwater could detect hidden objects or structures. That raises questions of export control and responsible use.
Quantum Technologies

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