Ultrasensitive quantum detection of external weak signals at the nanoscale levels can be implemented in a variety of forms. Here we discuss different feedback control algorithms for the sensing scenario based on the semiclassical Tavis-Cummings model for nitrogen-vacancy (NV) centers located in the diamond. In the frame of this model, the sensing elements are considered as non-interacting two-level quantum systems, distribute in-homogeneously due to heterogeneous local magnetic and strain environments. The dynamical system of ordinary differential equations corresponding to the model contains the set of control parameters: the detunings between the drive frequency and the cavity frequency and between the drive frequency and NV transition frequency, as well as the relaxation coefficients. Correspondingly, it opens a gate for developing feedback control algorithms for tracking the cavity field, the income signal, and the reflection signal in the model sensing system. To study the principal features of algorithmic feedback we formulate the simplified ’toy model’ for the Tavis-Cummings system and investigate alternative schemes of feedback (gradient methods, target attractor methods) to compare their pros and cons for effective control for nitrogen-vacancy-cavity quantum sensing based on different choices of the control parameter set. This work was supported by the Research Fund of Abdullah Gül University; Project Number: BAP FBA-2023-176 ’Geribesleme kontrol algoritmaları ile kubit tabanlı sensörlerin verimliliğinin artırılması’. The paper was presented at PhysCon2024.

Sergey Borisenok

Cybernetics and Physics

The scope of the journal includes:    -Nonlinear dynamics and control  -Complexity and self-organization  -Control of oscillations  -Control of chaos and bifurcations  -Control in thermodynamics  -Control of flows and turbulence  -Information Physics  -Cyber-physical systems  -Modeling and identification of physical systems  -Quantum information and control  -Analysis and control of complex networks  -Synchronization of systems and networks  -Control of mechanical and micromechanical systems  -Dynamics and control of plasma, beams, lasers, nanostructures  -Applications of cybernetic methods in chemistry, biology, other natural sciences    The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.

The journal "Cybernetics and Physics" covers a wide range of topics, including nonlinear dynamics and control, complexity and self-organization, control of oscillations, chaos and bifurcation control, thermodynamic control, control of flows and turbulence, information physics, cyber-physical systems, modeling and identification of physical systems, quantum information and control, analysis and control of complex networks, synchronization of systems and networks, control of mechanical and micromechanical systems, dynamics and control of plasma, beams, lasers, and nanostructures, as well as applications of cybernetic methods in chemistry, biology, and other natural sciences. We welcome papers that have a cybernetic flavor in physics and those that have a physical flavor in cybernetics. Cybernetics is understood to encompass not only control but also areas such as estimation, filtering, optimization, identification, information theory, pattern recognition, and other related fields.

《Cybernetics and Physics》期刊的范围包括：非线性动力学与控制、复杂性与自组织、振荡控制、混沌与分岔控制、热力学控制、流动与湍流控制、信息物理学、网络物理系统、物理系统的建模与识别、量子信息与控制、复杂网络的分析与控制、系统与网络的同步、机械与微机械系统的控制、等离子体、束流、激光、纳米结构的动力学与控制，以及在化学、生物学和其他自然科学中应用控制论方法。我们欢迎具有控制论特征的物理学论文以及具有物理学特征的控制论论文。控制论不仅包括控制，还涵盖估计、滤波、优化、识别、信息理论、模式识别及其他相关领域。

On feedback control algorithms for nitrogen-vacancy-cavity quantum sensing

ivySCI AI Smartly Parses PDF, Answers Researchers' Questions, and Helps You Understand Papers in Seconds

Journal Info