Quantum sensing tools to characterize physical, chemical and biological processes with magnetic resonance

ANALIA ZWICK; GONZALO A. ALVAREZ

Journal of Magnetic Resonance Open

elsevier

Año: 2023

2666-4410

Nuclear Magnetic Resonance (NMR) plays a central role in developing quantum informationsciences and technologies. Key features such as its non-invasive nature and the abilityto process information on nuclear spins by versatile quantum control designs with electromagneticfields, have made NMR to become a powerful technique for sensing systems fromatomic and molecular scales with spectroscopy to millimeters in imaging. This brief overviewprovides quantum sensing tools with which we are contributing from Latin America, by combiningquantum dynamical control and estimation strategies with NMR methods to probephysical, chemical, and biological processes. It introduces the basic and key concepts onhow controlled spin-sensors can monitor the correlation dynamics of their environment, andselectively and optimally infer its relevant parameters. Then these concepts are illustratedwith state-of-the-art implementations for characterizing (i) biological tissue microstructurewith diffusion weighting imaging, (ii) quantum information dynamics and scrambling inout-of-equilibrium systems with solid-state NMR quantum simulations, and (iii) molecularstructures by selective estimation of spin-spin couplings and online learning control designswith experimental proposals. We expect these concepts will motivate the development ofquantum dynamical control of spin sensors to monitor systems in a variety of fields, and inparticular to exploit the non-invasive strength of NMR, e.g. in biomedical diagnosis.