Exploring High-Spin Color Centers in Wide Band Gap Semiconductors SiC: A Comprehensive Magnetic Resonance Investigation (EPR and ENDOR Analysis)

Project Code :TMMACO178

Objective

This study characterizes nitrogen–vacancy centers in 4H- and 6H-SiC using high-frequency EPR and ENDOR, revealing spin coherence, optical polarization, and quantum control potential for solid-state qubits and sensors.

Abstract

The proposed method in this study focuses on the systematic characterization of nitrogen–vacancy (NV) centers in wide bandgap silicon carbide (SiC) polytypes, specifically 4H-SiC and 6H-SiC, in order to evaluate their potential as solid-state qubits and quantum sensors. Using high-frequency photoinduced electron paramagnetic resonance (EPR) at 94 GHz, complemented by electron–nuclear double resonance (ENDOR), the spin and optical properties of NV centers were comprehensively investigated. Key spin Hamiltonian parameters were extracted, including a zero-field splitting constant of approximately 1.2–1.3 GHz, hyperfine interaction of ~1.1 MHz with ^14N nuclei, and a quadrupole constant of ~2.45 MHz. Optical polarization efficiency was shown to be polytype-dependent, with 532 nm excitation yielding optimal results in 4H-SiC and 980 nm excitation most effective in 6H-SiC. Relaxation studies revealed T₁ times in the range of hundreds of microseconds and T₂ coherence times of ~25 µs at room temperature, extended to ~60 µs at 150 K under advanced pulse sequences. Observation of Rabi oscillations confirmed coherent spin manipulation, validating the controllability of NV spin states. Furthermore, ENDOR spectra revealed well-resolved electron–nuclear interactions, highlighting the feasibility of nuclear spins as auxiliary qubits in multi-qubit registers.

KEYWORDS: Nitrogen-vacancy centers; Silicon carbide (SiC); Electron paramagnetic resonance (EPR); Electron–nuclear double resonance (ENDOR); Spin coherence; Quantum sensing; Solid-state qubits; Spin–photon interfaces.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Specifications

Software: Matlab 2022b or above

Hardware:

Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space

RAM:

Minimum: 4 GB

Recommended: 8 GB

 

Learning Outcomes

·         Introduction to Matlab

·         What is EISPACK & LINPACK

·         How to start with MATLAB

·         About Matlab language

·         Matlab coding skills

·         About tools & libraries

·         Application Program Interface in Matlab

·         About Matlab desktop

·         How to use Matlab editor to create M-Files

·         Features of Matlab

·         Basics on Matlab

·         What is Communication?

·         About Communication

·         Introduction to Communication

·         How Communication Works?

·         Importing the System Design, Characterization and Visualization

·         Analyzing of BER tool

·         Analyzing of Error Rate Test Console

·         Generation of WSN

·         WSN network creation

·         Nodes Communication

·         Clustering

·         Routing

·         Convolutional

·         Equalization and Synchronization etc.,

·         How to extend our work to another real time applications

·         Project development Skills

               o    Problem analyzing skills

               o    Problem solving skills

               o    Creativity and imaginary skills

               o    Programming skills

               o    Deployment

               o    Testing skills

               o    Debugging skills

               o    Project presentation skills

               o    Thesis writing skills

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