Optically detected magnetic resonance with an open source platform
- URL: http://arxiv.org/abs/2205.00005v4
- Date: Tue, 11 Jul 2023 07:55:51 GMT
- Title: Optically detected magnetic resonance with an open source platform
- Authors: Hossein Babashah, Hoda Shirzad, Elena Losero, Valentin Goblot,
Christophe Galland, Mayeul Chipaux
- Abstract summary: Localized electronic spins in solid-state environments form versatile platforms for quantum sensing, metrology and quantum information processing.
With optically detected magnetic resonance (ODMR), it is possible to prepare and readout highly coherent spin systems.
This article aims to steepen the learning curve of newcomers in ODMR from a variety of scientific backgrounds.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Localized electronic spins in solid-state environments form versatile and
robust platforms for quantum sensing, metrology and quantum information
processing. With optically detected magnetic resonance (ODMR), it is possible
to prepare and readout highly coherent spin systems, up to room temperature,
with orders of magnitude enhanced sensitivities and spatial resolutions
compared to induction-based techniques, allowing for single spin manipulations.
While ODMR was first observed in organic molecules, many other systems have
since then been identified. Among them is the nitrogen-vacancy (NV) center in
diamond, which is used both as a nanoscale quantum sensor for external fields
and as a spin qubit. Other systems permitting ODMR are rare earth ions used as
quantum memories and many other color centers trapped in bulk or 2-dimensional
host materials. In order to allow the broadest possible community of
researchers and engineers to investigate and develop novel ODMR-based materials
and applications, we review here the setting up of ODMR experiments using
commercially available hardware. We also present in detail the dedicated
collaborative open-source interface named Qudi and describe the features we
added to speed-up data acquisition, relax instrument requirements and extend
its applicability to ensemble measurements. Covering both hardware and software
development, this article aims to steepen the learning curve of newcomers in
ODMR from a variety of scientific backgrounds, optimize the experimental
development time, preempt the common measurement pitfalls, and provide an
efficient, portable and collaborative interface to implement innovative
experiments.
Related papers
- New opportunities in condensed matter physics for nanoscale quantum sensors [0.14993626998062629]
Nitrogen vacancy (NV) centre quantum sensors provide unique opportunities in studying condensed matter systems.
They are quantitative, noninvasive, physically robust, offer nanoscale resolution, and may be used across a wide range of temperatures.
These properties have been exploited in recent years to obtain nanoscale resolution measurements of static magnetic fields.
arXiv Detail & Related papers (2024-03-20T16:13:22Z) - ChemVise: Maximizing Out-of-Distribution Chemical Detection with the
Novel Application of Zero-Shot Learning [60.02503434201552]
This research proposes learning approximations of complex exposures from training sets of simple ones.
We demonstrate this approach to synthetic sensor responses surprisingly improves the detection of out-of-distribution obscured chemical analytes.
arXiv Detail & Related papers (2023-02-09T20:19:57Z) - Simulation of ODMR Spectra from Nitrogen-Vacancy Ensembles in Diamond
for Electric Field Sensing [0.0]
We present an open source simulation tool that models the influence of arbitrary electric and magnetic fields on the electronic and nuclear spin states of NV ensembles.
Specifically, the code computes the transition strengths and predicts the sensitivity under shot-noise-limited optically-detected magnetic resonance.
We show that our code can be used to optimize sensitivity in situations where usual arguments based on neglecting terms in the full Hamiltonian would give sub-optimal results.
arXiv Detail & Related papers (2023-01-10T18:16:12Z) - All-Optical Nuclear Quantum Sensing using Nitrogen-Vacancy Centers in
Diamond [52.77024349608834]
Microwave or radio-frequency driving poses a significant limitation for miniaturization, energy-efficiency and non-invasiveness of quantum sensors.
We overcome this limitation by demonstrating a purely optical approach to coherent quantum sensing.
Our results pave the way for highly compact quantum sensors to be employed for magnetometry or gyroscopy applications.
arXiv Detail & Related papers (2022-12-14T08:34:11Z) - Sensing of magnetic field effects in radical-pair reactions using a
quantum sensor [50.591267188664666]
Magnetic field effects (MFE) in certain chemical reactions have been well established in the last five decades.
We employ elaborate and realistic models of radical-pairs, considering its coupling to the local spin environment and the sensor.
For two model systems, we derive signals of MFE detectable even in the weak coupling regime between radical-pair and NV quantum sensor.
arXiv Detail & Related papers (2022-09-28T12:56:15Z) - Microfluidic quantum sensing platform for lab-on-a-chip applications [0.0]
We present a fully integrated microfluidic platform for solid-state spin quantum sensors, such as the nitrogen-vacancy center in diamond.
Our work opens the door for novel chemical analysis capabilities within LOC devices with applications in electrochemistry, high throughput reaction screening, bioanalytics, organ-on-a-chip, or single-cell studies.
arXiv Detail & Related papers (2022-09-04T16:01:56Z) - Toward deep-learning-assisted spectrally-resolved imaging of magnetic
noise [52.77024349608834]
We implement a deep neural network to efficiently reconstruct the spectral density of the underlying fluctuating magnetic field.
These results create opportunities for the application of machine-learning methods to color-center-based nanoscale sensing and imaging.
arXiv Detail & Related papers (2022-08-01T19:18:26Z) - Machine-learning-enhanced quantum sensors for accurate magnetic field
imaging [0.0]
Local detection of magnetic fields is crucial for characterizing nano- and micro-materials.
Diamond nanoparticles (nanodiamonds) offer an attractive opportunity to chieve high spatial resolution.
A physical model for such a randomly oriented nanodiamond ensemble (NDE) is available, but the complexity of actual experimental conditions still limits the accuracy of deducing magnetic fields.
Here, we demonstrate magnetic field imaging with high accuracy of 1.8 $mu$T combining NDE and machine learning without any physical models.
arXiv Detail & Related papers (2022-02-01T12:48:06Z) - PULSEE: A software for the quantum simulation of an extensive set of
magnetic resonance observables [0.0]
The package introduced here enables the simulation of both standard NMR spectroscopic observables and the time-evolution of an interacting single-spin system.
The main purpose of this software is to facilitate in the development of much needed novel NMR-based probes of emergent quantum orders.
arXiv Detail & Related papers (2021-08-25T18:13:03Z) - Visualizing spinon Fermi surfaces with time-dependent spectroscopy [62.997667081978825]
We propose applying time-dependent photo-emission spectroscopy, an established tool in solid state systems, in cold atom quantum simulators.
We show in exact diagonalization simulations of the one-dimensional $t-J$ model that the spinons start to populate previously unoccupied states in an effective band structure.
The dependence of the spectral function on the time after the pump pulse reveals collective interactions among spinons.
arXiv Detail & Related papers (2021-05-27T18:00:02Z) - Controlled coherent dynamics of [VO(TPP)], a prototype molecular nuclear
qudit with an electronic ancilla [50.002949299918136]
We show that [VO(TPP)] (vanadyl tetraphenylporphyrinate) is a promising system suitable to implement quantum computation algorithms.
It embeds an electronic spin 1/2 coupled through hyperfine interaction to a nuclear spin 7/2, both characterized by remarkable coherence.
arXiv Detail & Related papers (2021-03-15T21:38:41Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.