Active Solicitation · DEPARTMENT OF ENERGY
AI Summary
The Department of Energy is offering a technology licensing opportunity for a maximum length sequence phase encoding method that enhances quantum sensor performance in noisy environments. This innovative approach improves signal discrimination and reduces false positives, making it applicable in various fields such as geophysical exploration and environmental monitoring. Interested parties can contact Los Alamos National Laboratory for licensing discussions.
Quantum sensors can detect extremely small electromagnetic and magnetic signatures, which makes them powerful tools for geophysical analysis, materials detection, environmental monitoring, and scientific research. Their sensitivity also makes them vulnerable to interference from ambient RF sources, electrical noise, and outdoor or industrial environments. Traditional readout methods attempt to preserve the phase of the sensor or allow it to evolve uniformly, but these approaches can produce ambiguous results or false positives when exposed to strong interference.
Los Alamos researchers developed a pseudorandom phase-encoding method that allows a quantum sensor to distinguish true target signals from substantial background noise. By applying a maximum length sequence, also called an msequence, the sensor’s phase is flipped by 180 degrees according to a designed pattern. The resulting measurement is analyzed using correlation against the known sequence, enabling accurate extraction of the intended signal even when conventional methods fail to differentiate between interference and true sensor output.
Advantages
Technology Description
The method embeds a defined sequence of phase inversions into the quantum sensor. Target signals track this imposed pattern because they arise from the controlled experiment, while interfering signals do not. This inherent separation allows correlation-based processing to highlight coherent responses and suppress background noise.
Demonstrations using low field nuclear magnetic resonance (NMR) show that both traditional CPMG-style readouts and the m-sequence-based readout detect the intended signal under ideal conditions. However, when only interference is present, the traditional readout cannot reliably separate interference from the target signal, while the m-sequence method correctly rejects the interferer. Experimental data also show strong correlation peaks for the encoded measurement and minimal correlation for AM or broadband interferers, confirming the method’s robustness in realistic outdoor and industrial noise environments.
Market Applications
This phase-encoded readout method supports sensing platforms in which interference can obscure weak or transient signals. Its characteristics make it relevant to a wide range of technologies, including:
These and related applications benefit from enhanced robustness and improved discrimination of true signals in field environments.
TRL 3
U.S. Patent pending
LA-UR-25-31925
LANL Tech Partnerships: Unlock the Innovative Potential
Los Alamos National Laboratory offers a wide range of cutting-edge technologies and capabilities that may provide your company with a competitive edge in the market and unlock the innovative potential that can enhance, refine, and revolutionize your products.
LANL’s licensing program focuses on moving inventions developed by our researchers to commercial innovations. Patented and patent pending inventions and copyrighted software are available to existing and start-up companies through exclusive and non-exclusive licensing agreements. For specific discussions, please contact licensing@lanl.gov.
Note: This is not a call for external services for the development of this technology.
https://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology
m.lanl.gov/tech-search
TECHNOLOGY LICENSING OPPORTUNITY: MAXIMUM LENGTH SEQUENCE PHASE ENCODING FOR QUANTUM SENSOR READOUT is a federal acquisition solicitation issued by DEPARTMENT OF ENERGY. Review the full description, attachments, and submission requirements on SamSearch before the response deadline.
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