FOREIGN - WAVELET-ENHANCED QUANTUM SENSING WITH SOLID-STATE NUCLEAR SPINS
Abstract
Proximal nuclear spins of a defect center hosted in a wide-band-gap semiconductor constitutean ensemble of sensors having in principle much longer coherence times than electronic qubits. Widely known archetype is the nitrogen-vacancy (NV) center in diamond where the nitrogen and neighboring 13C nuclei comprise the sensing agents. But so far it is the electronic spin of the NV center which played the central role, and nuclear spin ensemble-based sensing is still in its infancy. Among the challenges, the dipole-dipole interaction among the spinful nuclei forms a many-body bath which can hinder the signal to be sensed if one is ignorant to how this dynamics unfolds. Additionally, there are the classical noise sources as well as quantum fluctuations, and the projection noise inflicting measurements. The primary aim of this research is to develop wavelet time-frequency analysis-based measures to enhance the present sensing capabilities of nuclear spin ensemble sensors. For a realistic assessment we shall employ our recently developed computational platform that relies on the cluster correlation expansion many-body technique for tracking the dynamics of the dipole-dipole interaction among nuclear spins while incorporating all major one-body terms such as anisotropic hyperfine with the central qubit, electric quadrupolar, and Zeeman interactions. In the first half of the project static or low-frequency magnetic field sensing for components both along and transverse to NV axis will be studied, the latter being particularly challenging. We shall employ latest advancements on wavelets such as synchrosqueezing and multi-synchrosqueezing transform to harness the subtle information about the signal that is unavoidably overlooked with traditional approaches. Powerful wavelet de-noising techniques will be tested for removing classical and quantum noises. This will enable benchmarking the sensitivity enhancement. In the second half, we shall extend this computational study to other sensing quantities such as rotation, and divacancy and similar defects in SiC.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 20, 2023
- Source ID
- FA95502210444
Entities
People
- Ceyhun Bulutay
Organizations
- Air Force Office of Scientific Research
- United States Air Force