Quantum sensors use controlled properties of atoms, light or materials to measure quantities such as time, magnetic fields, gravity and motion. Their commercial maturity varies by instrument and application. Buyers can already examine named gravimeters and magnetic measurement systems, but a catalogue specification does not establish useful field performance. The purchasing question is whether the complete instrument produces a reliable decision within the available time, environment and budget. This guide combines commercial examples with deployment criteria, reviewed on 29 September 2026.
- Measured quantities
- Time, magnetic fields, gravity and motion
- Commercial examples
- Exail AQG, QuSpin magnetometers and Qnami ProteusQ
- Maturity
- Established instruments through to field trials
- Adoption criterion
- Useful measurement under operating conditions
What makes a sensor quantum?
As NIST explains, quantum sensing draws on properties such as discrete atomic energy levels and spin. Atomic clocks and established magnetometers belong to this family alongside newer instruments. The term does not imply a universal quantum computer or a single maturity level. A buyer should identify the physical quantity being measured and the particular mechanism that turns it into a useful output, rather than treating quantum as a performance specification.
The sensitive element is only one part of an instrument. Its operating environment, control electronics, software and data interpretation all contribute to the delivered measurement. NPL's quantum-sensor work includes gravity and magnetic measurement, illustrating distinct measurement tasks. For procurement, state the required uncertainty, bandwidth, stability and environmental range together. Improving one headline number can be commercially unhelpful if setup time or operating restrictions make the intended workflow impractical.
What can Exail's gravimeters tell a prospective buyer?
Exail offers AQG-A and AQG-B absolute quantum gravimeters, using laser-cooled atom interferometry for indoor and field measurements respectively. Its published AQG-B specifications include a typical two-hour warm-up, five boxes with total mass below 140 kg, a 0–40°C operating range and 500 W operating consumption. These are supplier specifications. They describe significant transport, setup and power considerations even before the instrument begins producing a survey result.
The same page gives quiet-site precision examples, including 20 nm/s² after ten minutes and 10 nm/s² after forty minutes, and describes CSV output with recorded corrections. A tender should identify which claimed figure matters to the application and the conditions under which it must be demonstrated. Precision, long-term stability and trueness are separate properties; none should be substituted for the others when setting acceptance. A field product label does not remove the need to assess the actual survey environment.
How do published specifications change a field schedule?
Consider a hypothetical survey with six stations, each allocated ten minutes of measurement after one two-hour warm-up. The arithmetic gives three hours before allowing for station changes, levelling, travel, repeat measurements or data checking. This is a planning illustration, not an Exail throughput guarantee. It also assumes that a single warm-up remains sufficient, which the operator would need to confirm for the proposed transport and power sequence. A realistic workday must include the activities omitted from that simple calculation.
If the instrument alone drew a hypothetical constant 500 W for four hours, it would consume 2 kWh. That arithmetic is useful for an initial energy allowance, but it is not a battery-system specification: conversion losses, startup behaviour, environmental control and supporting equipment must also be assessed. Similarly, total transport mass does not say whether the team can safely move each case through the site. Translate every specification into a site question, then obtain the supplier's deployment advice and test the assumptions.
Which magnetic instruments illustrate other commercial routes?
QuSpin's QZFM Gen-3 is a zero-field atomic magnetometer intended for shielded or actively field-controlled conditions. Its QTFM Gen-2 is a total-field instrument intended to operate in the Earth's magnetic field. These are different operating propositions. A buyer should settle whether the task requires a prepared magnetic environment or measurement within the ambient field before requesting a demonstration, and should include shielding or compensation in the proposed system cost where applicable.
Qnami's ProteusQ is a scanning nitrogen-vacancy microscope for magnetic materials characterisation, supplied with probes, electronics and software. This is a laboratory workflow with its own sample and measurement requirements, not a substitute for a field gravimeter. Ask the provider to demonstrate representative samples, explain probe consumption and maintenance, and define the required operator training. These examples form a small product selection across gravity and magnetometry; they are not an exhaustive sensor directory or a claim that the instruments compete for the same job.
What separates a measurement demonstration from operational acceptance?
Begin with ground truth or an agreed reference procedure. In a subsurface investigation, a measured gravity anomaly needs interpretation before it supports a conclusion about what lies underground. In materials inspection, a magnetic image needs to be connected to the defect or process condition that the customer cares about. The acceptance plan should explain that connection and retain ambiguous cases. A visually persuasive image is not sufficient evidence that the instrument reliably answers the operational question.
Run the trial under representative vibration, temperature, interference and access constraints. Record setup time, unusable measurements, operator intervention and the effort needed to turn raw outputs into an accepted result. Some constraints can be managed with site preparation; others change whether the application is viable. Keep supplier statements separate from independent or customer-observed performance. A published demonstration elsewhere is useful for selecting an experiment, but the customer's own operating conditions determine whether the proposed purchase fits.
How should the commercial case include recurring costs?
Budget for staff, transport, environmental measures, maintenance, software support and interpretation as well as the instrument. Ask what verification or calibration work is required for the complete measurement chain and how downtime will be handled. A physically stable sensing principle does not eliminate the need to manage the instrument and its outputs. A company buying through a distributor should also establish who has the expertise and spare parts needed to support the installation in its location.
The economic case is strongest when a better measurement changes an identifiable decision: it may reduce avoidable investigation, improve process control or permit a previously impractical observation. Those are hypotheses to test, not guaranteed savings. A paid trial with agreed acceptance and a credible operating-cost record can clarify the case. For supplier analysis, repeatable customer workflows and follow-on orders are more informative than sensitivity records alone. The testing and validation guide explains the different evidence needed at each stage.
Sources
NIST: quantum sensing explained
NPL: time and frequency quantum sensors
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Quantum Finance Monitor follows instrument suppliers, enabling components and customer adoption evidence. Readers can distinguish a measurement breakthrough from a supported product and a repeatable commercial service.
