Quantum Sensing Applications in Consumer Electronics: Emerging Methods and Near-Term Use Cases
quant-ph
Submitted: 2026-10-03
Updated: 2026-10-03
Comments: Published in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2026.3737069
Journal ref: S. Bhowmik and H. Thapliyal, "Quantum Sensing Applications in Consumer Electronics: Emerging Methods and Near-Term Use Cases," in IEEE Consumer Electronics Magazine, doi: 10.1109/MCE.2026.3737069
License: http://creativecommons.org/licenses/by/4.0/
The gist: Quantum sensing is emerging as a practical means of improving sensing capabilities in consumer electronics, particularly where size, power, and noise constrain classical approaches.
Abstract
Quantum sensing is emerging as a practical means of improving sensing capabilities in consumer electronics, particularly where size, power, and noise constrain classical approaches. In this paper, we reviewed the near-term applicability of quantum sensing using a platform-and-application framework. Within this framework, we outlined the general sensing protocol and discussed the working of the four key quantum sensing platforms relevant to consumer electronics: nitrogen-vacancy (NV) centers, atomic vapor cells, Rydberg atomic sensors, and photonic quantum sensors. Through case studies involving navigation and positioning, healthcare and wearables, radio-frequency (RF) and wireless systems, the Internet of Things (IoT), and imaging, we examined the tangible engineering advantages offered by quantum sensing. Rather than replacing devices outright, quantum sensing is more likely to earn its place in the near-term by upgrading specific measurement components within hybrid classical-quantum systems. Right now, the clearest opportunities are in weak-field detection, compact RF reception, and sensing that remains robust in noise.
Sources
- Quantum-assured magnetic navigation achieves positioning accuracy better than a strategic-grade INS in airborne and ground-based field trials
- Rydberg Atomic Quantum Receivers for Classical Wireless Communications and Sensing: Their Models and Performance
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