The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 06, 2026
Filed:
Mar. 31, 2023
Massachusetts Institute of Technology, Cambridge, MA (US);
Guoqing Wang, Cambridge, MA (US);
Yixiang Liu, Cambridge, MA (US);
Jennifer Schloss, Cambridge, MA (US);
Scott Alsid, Cambridge, MA (US);
Danielle A. Braje, Winchester, MA (US);
Paola Cappellaro, Somerville, MA (US);
Massachusetts Institute of Technology, Cambridge, MA (US);
Abstract
Quantum sensors provide excellent performance combining high sensitivity with spatial resolution. Unfortunately, they can only detect signal fields at frequencies in a few accessible ranges, typically low frequencies up to the experimentally achievable control field amplitudes and a narrow window around their resonance frequencies. Fortunately, arbitrary-frequency signals can be detected by using the sensor qubit as a quantum frequency mixer, enabling a variety of sensing applications. The technique leverages nonlinear effects in periodically driven (Floquet) quantum systems to achieve quantum frequency mixing of the signal and an applied AC bias field. The frequency-mixed field can be detected using Rabi and CPMG sensing techniques with the bias field. Frequency mixing can distinguish vectorial components of an oscillating signal field, thus enabling arbitrary-frequency vector magnetometry. Using this protocol with nitrogen-vacancy centers in diamond to sense a 150 MHz signal field demonstrates the versatility of the quantum mixer sensing technique.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile