Opportunities / ENERGY, DEPARTMENT OF

Maximum Length Sequence Phase Encoding for Quantum Sensor Readout

Notice typeSpecial Notice
Solicitation #S-167695
DepartmentENERGY, DEPARTMENT OF
Sub-tier / officeENERGY, DEPARTMENT OF / TRIAD - DOE CONTRACTOR
NAICS—
PSC
Set-asideNo set-aside
PostedJun 24, 2026
Response deadlineDec 23, 2026 (2026-12-22T17:00:00-07:00)
Place of performanceLos Alamos, NM, 87545
Primary contactKathleen McDonald · licensing@lanl.gov

Description (excerpt)

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 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  …

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