arXiv subjects

Nick R. von Grafenstein

Publications and source records attributed to Nick R. von Grafenstein.

5 recordsLinked to original sources

arXiv2026

Coherent signal detection in the statistical polarization regime enables high-resolution nanoscale NMR spectroscopy

Nitrogen-vacancy (NV) centers in diamond have emerged as quantum sensors capable of detecting nuclear magnetic resonance (NMR) signals at unprecedented length scales, ranging from picoliter sample volumes down to single spins at the diamond surface. While high-resolution (few-hertz) coherent NV-NMR spectroscopy has been demonstrated at the micrometer scale, achieving comparable resolution at the nanometer scale has remained elusive. In this nanoscale regime, sensing relies on detecting stochastic spin noise from statistical polarization, where molecular diffusion in liquid samples severely broadens the spectrum and degrades resolution. Here, we demonstrate that coherent detection of signals from a hyperpolarized nanoscale sample overcomes this limitation, enabling single-digit hertz spectral resolution and the capacity to resolve scalar couplings. Finally, building on these results, we present a comparative analysis of the sensitivity of coherent versus spin-noise detection, identifying the regimes in which each performs best.

physics.chem-ph↗

arXiv2026

Optically detected and radio wave-controlled spin chemistry in flavoproteins

Optically addressable spin systems, such as nitrogen-vacancy centers in diamond, have been widely studied for quantum sensing applications. In this work, we demonstrate that certain flavoproteins, specifically cryptochrome and iLOV, which generate spin correlated radical pairs upon optical excitation, also exhibit optically detected magnetic resonance (ODMR). Remarkably, the iLOV protein, commonly used in cellular imaging, displays ODMR contrast approaching 50%. We present initial applications including widefield magnetic field sensing and spatial modulation of photoluminescence using radiofrequency pulses and magnetic field gradients. Our results establish radical pairs in proteins as a novel platform for optically addressable spin systems, offering the key advantages of molecular designability and genetic encodability. Moreover, due to the spin-selective nature of radical pair chemistry, the results lay the groundwork for future radiofrequency-based manipulation of biological systems.

quant-ph↗

arXiv2025

Quantum sensing with spin defects in boron nitride nanotubes

Spin defects in semiconductors are widely investigated for various applications in quantum sensing. Conventional host materials such as diamond and hexagonal boron nitride (hBN) provide bulk or low-dimensional platforms for optically addressable spin systems, but often lack the structural properties needed for chemical sensing. Here, we introduce a new class of quantum sensors based on naturally occurring spin defects in boron nitride nanotubes (BNNTs), which combine high surface area with omnidirectional spin control, key features for enhanced sensing performance. First, we present strong evidence that these defects are carbon-related, akin to recently identified centers in hBN, and demonstrate coherent spin control over ensembles embedded within dense, microscale BNNTs networks. Using dynamical decoupling, we enhance spin coherence times by a factor exceeding 300x and implement high-resolution detection of radiofrequency signals. By integrating the BNNT mesh sensor into a microfluidic platform we demonstrate chemical sensing of paramagnetic ions in solution, with detectable concentrations reaching levels nearly 1000 times lower than previously demonstrated using comparable hBN-based systems. This highly porous and flexible architecture positions BNNTs as a powerful new host material for quantum sensing.

quant-ph↗

arXiv2024

Time-space encoded readout for noise suppression and scalable scanning in optically active solid-state spin systems

Optically active solid-state spin systems play an important role in quantum technologies. We introduce a new readout scheme, termed Time to Space (T2S) encoding which decouples spin manipulation from optical readout both temporally and spatially. This is achieved by controlling the spin state within a region of interest, followed by rapid scanning of the optical readout position using an acousto-optic modulator. Time tracking allows the optical readout position to be encoded as a function of time. Using nitrogen-vacancy (NV) center ensembles in diamond, we first demonstrate that the T2S scheme enables correlated experiments for efficient common mode noise cancellation in various nano- and microscale sensing scenarios. In the second example, we show highly scalable multi-pixel imaging that does not require a camera and has the potential to accelerate data acquisition by several hundred times compared to conventional scanning methods. We anticipate widespread adoption of this technique, as it requires no additional components beyond those commonly used in optically addressable spin systems.

physics.app-ph↗

arXiv2024

Optical Widefield Nuclear Magnetic Resonance Microscopy

Microscopy enables detailed visualization and understanding of minute structures or processes. While cameras have significantly advanced optical, infrared, and electron microscopy, imaging nuclear magnetic resonance (NMR) signals on a camera has remained elusive. Here, we employ nitrogen-vacancy (NV) centers in diamond as a quantum sensor, which converts NMR signals into optical signals that are subsequently captured by a high-speed camera. Unlike traditional magnetic resonance imaging (MRI), our method records the NMR signal over a wide field of view in real space. We demonstrate that our optical widefield NMR microscopy (OMRM) can image NMR signals in microfluidic structures with a $\sim 10\,μm$ resolution across a $\sim 235 \times 150\,μm^2$ area. Crucially, each camera pixel records an NMR spectrum providing multicomponent information about the signal's amplitude, phase, local magnetic field strengths, and gradients. The fusion of optical microscopy and NMR techniques enables multifaceted imaging applications in the physical and life sciences.

physics.app-ph↗