Quantum Radar: Top Companies, Startups & Research (2026)

Northrop Grumman, Lockheed Martin Global, Boeing Company, BAE Systems and Microsoft appear among organizations associated with defense and stealth-detection activity. Northrop Grumman, Boeing Company, Leonardo, Thales Group and BAE Systems also appear under maritime surveillance. These are application-linked organizations, not necessarily confirmed suppliers of commercial quantum-radar products.

Massachusetts Institute of Technology, the U.S. National Institute of Standards and Technology and the University of Toronto are among the named research organizations. MIT researchers analyze Bell-state quantum illumination for radar and lidar detection, NIST studies Rydberg-atom receivers, and University of Toronto researchers model coincidence-based quantum lidar and ranging.

Recorded grant data totals $57,765,574 across 46 grants since 2020. This figure is the grant total associated with the topic in the supplied facts. The funding-round entries include organizations whose listed activity does not establish a direct quantum-radar investment, so they should not be treated as a verified topic-specific total.

Ariel Inventions LLC, May Patents Ltd., SilOriX GmbH and Hunan Jingci New Materials Co Ltd each have two patents in the listed holder data. Karlsruhe Institute of Technology, the University of Arizona, the University of Toledo and ELTA Systems Ltd. each have one. The listed leaders are therefore tied rather than dominated by a single holder.

The 24-month patent count is 24, and patent activity is down 50% over the comparison period. That contraction contrasts with strong recent activity in some application areas, including defense and stealth detection. Patent counts alone do not establish whether a technology is technically mature or close to deployment.

The field remains research-led: the facts list 82 research organizations, 9 companies and 1 startup. Recent work includes methods and system proposals rather than evidence of broad commercial deployment. Major practical questions remain around preserving quantum correlations, managing noise and losses, and demonstrating an advantage over conventional radar under realistic operating conditions.

In August 2026, Shanxi University published a varying-distance quantum illumination method based on quantum memory. Also in August 2026, Pohang University of Science and Technology and Electronics and Telecommunications Research Institute proposed wavelength-randomness beam steering for parallel multi-target quantum LiDAR. Both developments focus on making quantum sensing more flexible or efficient.

Quantum illumination uses correlations between a transmitted signal and a retained reference to detect targets amid noise. Squeezed-state radar targets improved measurement sensitivity, while single-photon detection relies on counting weak returns. Quantum ghost imaging uses correlations to reconstruct images; quantum-enhanced coherent detection focuses on improving coherent measurements of weak signals.

The United States leads the country-level document data, followed by the United Kingdom, China and Germany. The reported shares are 64.8% for the United States, 26.9% for the United Kingdom, 21.8% for China and 19.9% for Germany. Country shares may overlap, so they should not be read as exclusive portions of the field.

The listed applications are defense and stealth detection, space surveillance, maritime surveillance, and remote sensing and imaging. Recent activity increased in the first three areas, while remote sensing and imaging declined. The application labels indicate areas of research and interest; they do not by themselves demonstrate operational quantum-radar systems.