Quantum sensitivity limits of nuclear magnetic resonance experiments searching for new fundamental physics
Deniz Aybas, Hendrik Bekker, John W. Blanchard, Dmitry Budker, Gary P., Centers, Nataniel L. Figueroa, Alexander V. Gramolin, Derek F. Jackson, Kimball, Arne Wickenbrock, Alexander O. Sushkov

TL;DR
This paper analyzes quantum noise limits in nuclear magnetic resonance experiments, particularly for dark matter searches, and discusses how to approach these fundamental sensitivity bounds.
Contribution
It models the noise sources in NMR experiments and explores how circuit design can minimize quantum noise to enhance dark matter detection sensitivity.
Findings
Quantified spin-projection, thermal, and amplifier noise contributions.
Identified circuit back-action as a key factor in noise suppression.
Provided conditions for reaching quantum-limited sensitivity in axion searches.
Abstract
Nuclear magnetic resonance is a promising experimental approach to search for ultra-light axion-like dark matter. Searches such as the cosmic axion spin-precession experiments (CASPEr) are ultimately limited by quantum-mechanical noise sources, in particular, spin-projection noise. We discuss how such fundamental limits can potentially be reached. We consider a circuit model of a magnetic resonance experiment and quantify three noise sources: spin-projection noise, thermal noise, and amplifier noise. Calculation of the total noise spectrum takes into account the modification of the circuit impedance by the presence of nuclear spins, as well as the circuit back-action on the spin ensemble. Suppression of the circuit back-action is especially important in order for the spin-projection noise limits of searches for axion-like dark matter to reach the quantum chromodynamic axion sensitivity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
