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 Improves quantum sensor performance in noisy outdoor and industrial settings Distinguishes true sensor signals from interfering or spurious noise Reduces false positives without added shielding or multichannel detection Integrates into existing measurement protocols with minimal modification Compatible with a range of quantum sensing platforms, including magnetic and electromagnetic systems 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...
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Start Free| Issuing agency | Triad - DoE Contractor |
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| Country | United States |
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| Category | Surveillance & Isr |
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| Published | June 24, 2026 |
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| Procurement stage | Request for Proposal (RFP) |
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| Response due | December 22, 2026 |
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| Status | Open — accepting responses |
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| Official source | View original notice |
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| Last verified | September 27, 2026 |
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Source: U.S. Government (SAM.gov) — public domain. GlobalGov is not affiliated with or endorsed by the United States Government.
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